- published: 13 Sep 2010
- views: 126685
-
remove the playlistComplex Adaptive System
- remove the playlistComplex Adaptive System
Complex adaptive system
A complex adaptive system is a "complex macroscopic collection" of relatively "similar and partially connected micro-structures" formed in order to adapt to the changing environment and increase its survivability as a macro-structure.
They are complex in that they are dynamic networks of interactions, and their relationships are not aggregations of the individual static entities. They are adaptive in that the individual and collective behavior mutate and self-organize corresponding to the change-initiating micro-event or collection of events.
Overview
The term complex adaptive systems, or complexity science, is often used to describe the loosely organized academic field that has grown up around the study of such systems. Complexity science is not a single theory— it encompasses more than one theoretical framework and is highly interdisciplinary, seeking the answers to some fundamental questions about living, adaptable, changeable systems.
Typical examples of complex adaptive systems include: the global macroeconomic network within a country or group of countries; stock market and complex web of cross border holding companies; social insect (e.g. ant) colonies; the biosphere and the ecosystem; the brain and the immune system; the cell and the developing embryo; manufacturing businesses; and any human social group-based endeavour in a particular ideology and social system such as political parties, communities, geopolitical organisations, war, and terrorist networks of both hierarchical and leaderless nature. The internet and cyberspace - composed, collaborated, and managed by a complex mix of human–computer interactions, is also regarded as a complex adaptive system.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Complex_adaptive_system
Adaptive system
The term adaptation is used in biology in relation to how living beings adapt to their environments, but with two different meanings. First, the continuous adaptation of an organism to its environment, so as to maintain itself in a viable state, through sensory feedback mechanisms. Second, the development (through evolutionary steps) of an adaptation (an anatomic structure, physiological process or behavior characteristic) that increases the probability of an organism reproducing itself (although sometimes not directly).
Generally speaking, an adaptive system is a set of interacting or interdependent entities, real or abstract, forming an integrated whole that together are able to respond to environmental changes or changes in the interacting parts. Feedback loops represent a key feature of adaptive systems, allowing the response to changes; examples of adaptive systems include: natural ecosystems, individual organisms, human communities, human organizations, and human families.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Adaptive_system
Podcasts:
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TEDxRotterdam - Igor Nikolic - Complex adaptive systems
Igor Nikolic graduated in 2009 on his dissertation: co-evolutionary process for modelling large scale socio-technical systems evolution. He received his MSc as a chemical-- and bioprocess engineer at the Delft University of Technology. He spent several years as an environmental researcher and consultant at University of Leiden where he worked on life cycle analysis and industrial ecology. In his research he specializes in applying complex adaptive systems theory and agent based modeling. On TEDxRotterdam Igor Nikolic left the audience in awe with his stunning presentation and visualizations, mapping complex systems. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share...
published: 13 Sep 2010 -
Complex Adaptive Systems (Stonk Market) and How to Beat Them
Complex adaptive systems are stealing your life savings. This video might explain how to get them back. Watch Ben donate your money to Wall Street https://www.patreon.com/givebenyourmoney
published: 11 Jun 2021 -
Complex Adaptive Systems
Follow along with the course eBook: https://systemsinnovation.io/books/ Take the full course: https://systemsinnovation.io/courses/ Twitter: http://bit.ly/2JuNmXX LinkedIn: http://bit.ly/2YCP2U6 In this module we will be giving an overview to complex adaptive systems, we will first define what we mean they this term, before briefly covering the main topics in this area. Transcriptions excerpt: A complex adaptive system is a special class of complex system that has the capacity for adaptation. Thus like all complex systems they consist of many elements, what are called agents, with these agents interacting in a nonlinear fashion creating a network of connections within which agents are acting and reacting to each other’s behavior. Through adaptation agents have the capacity to synchroniz...
published: 04 May 2015 -
What are complex adaptive systems?
Introduction by James Watson. Read more here: http://www.stockholmresilience.org/5.3186f824143d05551ad3c42.html
published: 12 Mar 2014 -
Complex Adaptive Systems - Dave Snowden - DDD Europe 2018
Join Dave Snowden's workshop in June '19 in Amsterdam. training.dddeurope.com Domain-Driven Design Europe 2018 https://dddeurope.com https://twitter.com/ddd_eu BIOGRAPHY Founder and chief scientific officer of Cognitive Edge. His work is international in nature and covers government and industry looking at complex issues relating to strategy, organisational decision making and decision making. He has pioneered a science based approach to organisations drawing on anthropology, neuroscience and complex adaptive systems theory. He is a popular and passionate keynote speaker on a range of subjects, and is well known for his pragmatic cynicism and iconoclastic style. He holds visiting Chairs at the Universities of Pretoria and Hong Kong Polytechnic University as well as a visiting fellowship...
published: 12 Jun 2018 -
Dr. Derek Cabrera provides an introduction to complex adaptive systems (CAS) | Understanding CAS
Dr. Derek Cabrera of Cornell University gives a quick introduction to complex adaptive systems (CAS). ABOUT CABRERA RESEARCH LAB: Born at Cornell University, our research lab studies the problem that underlies all problems: thinking. We do basic and applied research, design innovative tools and technologies, and facilitate public understanding in order to better understand how to align mental models with real-world systems to decrease biases, make better decisions, solve wicked problems, and 'get it right' more often. Check us out: https://www.cabreraresearch.org/ FOLLOW US: Twitter: https://twitter.com/cabreraresearch Instagram: https://www.instagram.com/cabreraresearch/?hl=en Linkedin: https://www.linkedin.com/company/5343365/admin/ Facebook: https://www.facebook.com/cabreraresear...
published: 16 May 2017 -
Complex Adaptive Systems Overview
Take the full course: https://www.systemsinnovation.network/courses/7319495/ Twitter: http://bit.ly/2JuNmXX LinkedIn: http://bit.ly/2YCP2U6 A brief overview to the area of complex adaptive systems and cybernetics. Transcription: Complex adaptive systems are systems composed of multiple diverse elements that are cable of adaptation and thus can evolve over time to exhibit highly complex behavior. But lets start from the beginning by talking a bit about adaptation. Adaptation is a process or capability through which systems can change in response to some event within their environment. In order for this to happen there needs to be some control or regulatory mechanism within the system. Cybernetics is the area that deals with a systems regulatory mechanism through what are called feedba...
published: 14 May 2014 -
Complex Adaptive Systems (CAS): Explained
Complex Adaptive Systems (CAS) are dynamic networks of interconnected components, like organisms or organizations, that adapt and evolve in response to internal and external changes. They exhibit emergent behavior, where interactions among elements give rise to unpredictable outcomes. CAS theory is used to understand phenomena in various fields, from biology to economics. www.b2bwhiteboard.com
published: 15 Sep 2023 -
Pat Ebright - Complex Adaptive System Theory
Gonzaga Mentor Gallery Clip - 2007. Pat Ebright Complex Adaptive System Theory . Copyright Gonzaga University 2007. Video by JesuitNET.
published: 02 Feb 2010 -
What are complex adaptive systems?
A system can refer to many things. But for understanding complex adaptive systems, it refers to a group of objects or entities connected to each other in some way. Complex systems are systems characterized by special properties of their organization and behavior. Complex adaptive systems use this organization to process information about their internal condition and external environment, allowing them to respond to a dynamic world. All living things and human societies are complex adaptive system
published: 01 Mar 2021
developed with YouTube
16:07
TEDxRotterdam - Igor Nikolic - Complex adaptive systems
- Order: Reorder
- Duration: 16:07
- Uploaded Date: 13 Sep 2010
- views: 126685
Igor Nikolic graduated in 2009 on his dissertation: co-evolutionary process for modelling large scale socio-technical systems evolution. He received his MSc as...
Igor Nikolic graduated in 2009 on his dissertation: co-evolutionary process for modelling large scale socio-technical systems evolution. He received his MSc as a chemical-- and bioprocess engineer at the Delft University of Technology. He spent several years as an environmental researcher and consultant at University of Leiden where he worked on life cycle analysis and industrial ecology. In his research he specializes in applying complex adaptive systems theory and agent based modeling.
On TEDxRotterdam Igor Nikolic left the audience in awe with his stunning presentation and visualizations, mapping complex systems.
About TEDx, x = independently organized event
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized. (Subject to certain rules and regulations.)
https://wn.com/Tedxrotterdam_Igor_Nikolic_Complex_Adaptive_Systems
Igor Nikolic graduated in 2009 on his dissertation: co-evolutionary process for modelling large scale socio-technical systems evolution. He received his MSc as a chemical-- and bioprocess engineer at the Delft University of Technology. He spent several years as an environmental researcher and consultant at University of Leiden where he worked on life cycle analysis and industrial ecology. In his research he specializes in applying complex adaptive systems theory and agent based modeling.
On TEDxRotterdam Igor Nikolic left the audience in awe with his stunning presentation and visualizations, mapping complex systems.
About TEDx, x = independently organized event
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized. (Subject to certain rules and regulations.)
18:06
Complex Adaptive Systems (Stonk Market) and How to Beat Them
- Order: Reorder
- Duration: 18:06
- Uploaded Date: 11 Jun 2021
- views: 899731
Complex adaptive systems are stealing your life savings. This video might explain how to get them back.
Watch Ben donate your money to Wall Street
https://www...
Complex adaptive systems are stealing your life savings. This video might explain how to get them back.
Watch Ben donate your money to Wall Street
https://www.patreon.com/givebenyourmoney
https://wn.com/Complex_Adaptive_Systems_(Stonk_Market)_And_How_To_Beat_Them
Complex adaptive systems are stealing your life savings. This video might explain how to get them back.
Watch Ben donate your money to Wall Street
https://www.patreon.com/givebenyourmoney
- published: 11 Jun 2021
- views: 899731
10:23
Complex Adaptive Systems
- Order: Reorder
- Duration: 10:23
- Uploaded Date: 04 May 2015
- views: 62887
Follow along with the course eBook: https://systemsinnovation.io/books/
Take the full course: https://systemsinnovation.io/courses/
Twitter: http://bit.ly/2JuNm...
Follow along with the course eBook: https://systemsinnovation.io/books/
Take the full course: https://systemsinnovation.io/courses/
Twitter: http://bit.ly/2JuNmXX
LinkedIn: http://bit.ly/2YCP2U6
In this module we will be giving an overview to complex adaptive systems, we will first define what we mean they this term, before briefly covering the main topics in this area.
Transcriptions excerpt:
A complex adaptive system is a special class of complex system that has the capacity for adaptation. Thus like all complex systems they consist of many elements, what are called agents, with these agents interacting in a nonlinear fashion creating a network of connections within which agents are acting and reacting to each other’s behavior. Through adaptation agents have the capacity to synchronize their states or activities with other agents locally, out of these local interactions the system can self-organize with the emergence of globally coherent patterns of organization developing. This macro scale organization then feeds back to the micro level, as the system has to perform selection upon the agents based upon their contribution to the whole system’s functioning. And thus there develops a complex dynamic between the bottom up motives of the individual agents and the top down macro scale system of organization, both of which are often driven by different agendas but are ultimately interdependent. It is this interaction between bottom-up differentiation of agents with different agendas going in different directions and top-down integration in order to maintain the global pattern of organization that creates the core dynamic of complexity within these systems. This is a lot of very dense information so we will now try to flesh it out in greater detail through examples.
There are many examples of complex adaptive systems from ant colonies to financial market to the human immune system, to democracies and all types of ecosystems, but we will start on the micro level by talking about the agents and adaptation. An agent is an actor that has the capacity to adapt their state, meaning that given some change within their environment they can in response adjust their own state, so say our agent is a player within a sports game, well if we throw a ball to the person he or she can catch that ball. They are able to do this because they have what is called a regulatory or control system, a control system of this kind consist of a sensor, controller and an actuator, the person is using their optical sense to input information to their brain, the controller, that is then sending out a response to their mussels, the actuator, and through this process they can adjust to generate the appropriate response to this change in their environment. And it is this same process through which a bird in an ecosystem or a trader within a market is receiving information, processing it and generating a response. Typically these agents can only intercept and process a limited amount of local information, like a snail following a trail on the ground it does not have a global vision of the whole terrain around it and it must simply respond to the local information available to it.
Twitter: http://bit.ly/2TTjlDH
Facebook: http://bit.ly/2TXgrOo
LinkedIn: http://bit.ly/2TPqogN
https://wn.com/Complex_Adaptive_Systems
Follow along with the course eBook: https://systemsinnovation.io/books/
Take the full course: https://systemsinnovation.io/courses/
Twitter: http://bit.ly/2JuNmXX
LinkedIn: http://bit.ly/2YCP2U6
In this module we will be giving an overview to complex adaptive systems, we will first define what we mean they this term, before briefly covering the main topics in this area.
Transcriptions excerpt:
A complex adaptive system is a special class of complex system that has the capacity for adaptation. Thus like all complex systems they consist of many elements, what are called agents, with these agents interacting in a nonlinear fashion creating a network of connections within which agents are acting and reacting to each other’s behavior. Through adaptation agents have the capacity to synchronize their states or activities with other agents locally, out of these local interactions the system can self-organize with the emergence of globally coherent patterns of organization developing. This macro scale organization then feeds back to the micro level, as the system has to perform selection upon the agents based upon their contribution to the whole system’s functioning. And thus there develops a complex dynamic between the bottom up motives of the individual agents and the top down macro scale system of organization, both of which are often driven by different agendas but are ultimately interdependent. It is this interaction between bottom-up differentiation of agents with different agendas going in different directions and top-down integration in order to maintain the global pattern of organization that creates the core dynamic of complexity within these systems. This is a lot of very dense information so we will now try to flesh it out in greater detail through examples.
There are many examples of complex adaptive systems from ant colonies to financial market to the human immune system, to democracies and all types of ecosystems, but we will start on the micro level by talking about the agents and adaptation. An agent is an actor that has the capacity to adapt their state, meaning that given some change within their environment they can in response adjust their own state, so say our agent is a player within a sports game, well if we throw a ball to the person he or she can catch that ball. They are able to do this because they have what is called a regulatory or control system, a control system of this kind consist of a sensor, controller and an actuator, the person is using their optical sense to input information to their brain, the controller, that is then sending out a response to their mussels, the actuator, and through this process they can adjust to generate the appropriate response to this change in their environment. And it is this same process through which a bird in an ecosystem or a trader within a market is receiving information, processing it and generating a response. Typically these agents can only intercept and process a limited amount of local information, like a snail following a trail on the ground it does not have a global vision of the whole terrain around it and it must simply respond to the local information available to it.
Twitter: http://bit.ly/2TTjlDH
Facebook: http://bit.ly/2TXgrOo
LinkedIn: http://bit.ly/2TPqogN
- published: 04 May 2015
- views: 62887
3:34
What are complex adaptive systems?
- Order: Reorder
- Duration: 3:34
- Uploaded Date: 12 Mar 2014
- views: 44599
Introduction by James Watson. Read more here: http://www.stockholmresilience.org/5.3186f824143d05551ad3c42.html
Introduction by James Watson. Read more here: http://www.stockholmresilience.org/5.3186f824143d05551ad3c42.html
https://wn.com/What_Are_Complex_Adaptive_Systems
Introduction by James Watson. Read more here: http://www.stockholmresilience.org/5.3186f824143d05551ad3c42.html
- published: 12 Mar 2014
- views: 44599
57:10
Complex Adaptive Systems - Dave Snowden - DDD Europe 2018
- Order: Reorder
- Duration: 57:10
- Uploaded Date: 12 Jun 2018
- views: 59673
Join Dave Snowden's workshop in June '19 in Amsterdam.
training.dddeurope.com
Domain-Driven Design Europe 2018
https://dddeurope.com
https://twitter.com/ddd_eu...
Join Dave Snowden's workshop in June '19 in Amsterdam.
training.dddeurope.com
Domain-Driven Design Europe 2018
https://dddeurope.com
https://twitter.com/ddd_eu
BIOGRAPHY
Founder and chief scientific officer of Cognitive Edge. His work is international in nature and covers government and industry looking at complex issues relating to strategy, organisational decision making and decision making. He has pioneered a science based approach to organisations drawing on anthropology, neuroscience and complex adaptive systems theory. He is a popular and passionate keynote speaker on a range of subjects, and is well known for his pragmatic cynicism and iconoclastic style.
He holds visiting Chairs at the Universities of Pretoria and Hong Kong Polytechnic University as well as a visiting fellowship at the University of Warwick. He is a senior fellow at the Institute of Defense and Strategic Studies at Nanyang University and the Civil Service College in Singapore. His paper with Boone on Leadership was the cover article for the Harvard Business Review in November 2007 and also won the Academy of Management award for the best practitioner paper in the same year.
He has previously won a special award from the Academy for originality in his work on knowledge management. He is a editorial board member of several academic and practitioner journals in the field of knowledge management and is an Editor in Chief of E:CO. In 2006 he was Director of the EPSRC (UK) research programme on emergence and in 2007 was appointed to an NSF (US) review panel on complexity science research.
He previously worked for IBM where he was a Director of the Institution for Knowledge Management and founded the Cynefin Centre for Organisational Complexity; during that period he was selected by IBM as one of six on-demand thinkers for a world wide advertising campaign. Prior to that he worked in a range of strategic and management roles in the service sector.
https://wn.com/Complex_Adaptive_Systems_Dave_Snowden_Ddd_Europe_2018
Join Dave Snowden's workshop in June '19 in Amsterdam.
training.dddeurope.com
Domain-Driven Design Europe 2018
https://dddeurope.com
https://twitter.com/ddd_eu
BIOGRAPHY
Founder and chief scientific officer of Cognitive Edge. His work is international in nature and covers government and industry looking at complex issues relating to strategy, organisational decision making and decision making. He has pioneered a science based approach to organisations drawing on anthropology, neuroscience and complex adaptive systems theory. He is a popular and passionate keynote speaker on a range of subjects, and is well known for his pragmatic cynicism and iconoclastic style.
He holds visiting Chairs at the Universities of Pretoria and Hong Kong Polytechnic University as well as a visiting fellowship at the University of Warwick. He is a senior fellow at the Institute of Defense and Strategic Studies at Nanyang University and the Civil Service College in Singapore. His paper with Boone on Leadership was the cover article for the Harvard Business Review in November 2007 and also won the Academy of Management award for the best practitioner paper in the same year.
He has previously won a special award from the Academy for originality in his work on knowledge management. He is a editorial board member of several academic and practitioner journals in the field of knowledge management and is an Editor in Chief of E:CO. In 2006 he was Director of the EPSRC (UK) research programme on emergence and in 2007 was appointed to an NSF (US) review panel on complexity science research.
He previously worked for IBM where he was a Director of the Institution for Knowledge Management and founded the Cynefin Centre for Organisational Complexity; during that period he was selected by IBM as one of six on-demand thinkers for a world wide advertising campaign. Prior to that he worked in a range of strategic and management roles in the service sector.
- published: 12 Jun 2018
- views: 59673
2:51
Dr. Derek Cabrera provides an introduction to complex adaptive systems (CAS) | Understanding CAS
- Order: Reorder
- Duration: 2:51
- Uploaded Date: 16 May 2017
- views: 51462
Dr. Derek Cabrera of Cornell University gives a quick introduction to complex adaptive systems (CAS).
ABOUT CABRERA RESEARCH LAB:
Born at Cornell University...
Dr. Derek Cabrera of Cornell University gives a quick introduction to complex adaptive systems (CAS).
ABOUT CABRERA RESEARCH LAB:
Born at Cornell University, our research lab studies the problem that underlies all problems: thinking. We do basic and applied research, design innovative tools and technologies, and facilitate public understanding in order to better understand how to align mental models with real-world systems to decrease biases, make better decisions, solve wicked problems, and 'get it right' more often. Check us out: https://www.cabreraresearch.org/
FOLLOW US:
Twitter: https://twitter.com/cabreraresearch
Instagram: https://www.instagram.com/cabreraresearch/?hl=en
Linkedin: https://www.linkedin.com/company/5343365/admin/
Facebook: https://www.facebook.com/cabreraresearch
https://wn.com/Dr._Derek_Cabrera_Provides_An_Introduction_To_Complex_Adaptive_Systems_(Cas)_|_Understanding_Cas
Dr. Derek Cabrera of Cornell University gives a quick introduction to complex adaptive systems (CAS).
ABOUT CABRERA RESEARCH LAB:
Born at Cornell University, our research lab studies the problem that underlies all problems: thinking. We do basic and applied research, design innovative tools and technologies, and facilitate public understanding in order to better understand how to align mental models with real-world systems to decrease biases, make better decisions, solve wicked problems, and 'get it right' more often. Check us out: https://www.cabreraresearch.org/
FOLLOW US:
Twitter: https://twitter.com/cabreraresearch
Instagram: https://www.instagram.com/cabreraresearch/?hl=en
Linkedin: https://www.linkedin.com/company/5343365/admin/
Facebook: https://www.facebook.com/cabreraresearch
- published: 16 May 2017
- views: 51462
4:54
Complex Adaptive Systems Overview
- Order: Reorder
- Duration: 4:54
- Uploaded Date: 14 May 2014
- views: 45912
Take the full course: https://www.systemsinnovation.network/courses/7319495/
Twitter: http://bit.ly/2JuNmXX
LinkedIn: http://bit.ly/2YCP2U6
A brief overview to ...
Take the full course: https://www.systemsinnovation.network/courses/7319495/
Twitter: http://bit.ly/2JuNmXX
LinkedIn: http://bit.ly/2YCP2U6
A brief overview to the area of complex adaptive systems and cybernetics.
Transcription:
Complex adaptive systems are systems composed of multiple diverse elements that are cable of adaptation and thus can evolve over time to exhibit highly complex behavior. But lets start from the beginning by talking a bit about adaptation.
Adaptation is a process or capability through which systems can change in response to some event within their environment. In order for this to happen there needs to be some control or regulatory mechanism within the system.
Cybernetics is the area that deals with a systems regulatory mechanism through what are called feedback loops, whereby the actions of a system generates some change in its environment and that change in tern feeds back to effect the system itself.
A classical example given of this is a thermostat that regulates the temperature of a house, the system consists of a central controller where the desired temperature is set, a heater that creates an action that changes the state of the environment, and a sensor to feed back information about the environment to the controller.
Wherever we have this basic degree of interaction and interdependence between elements, we can us the model of an adaptive system and feedback loops to describe its dynamics and thus we can model economies, society and ecosystems in this way.
The different ways in which the interactions between a system and its environment effect each other generates different types of feedback loops, primary among these are what are called positive and negative feedback.
Firstly, Positive feedback is an action that produces more of the same. For example as global temperatures rise, Arctic sea ice melts, as this reflective sea ice disappears the now exposed dark ocean waters absorb more heat which in turn increases global temperature and so on.
In contrast negative feedback produces less of the same action. For example the more the price of apples goes up the less the demand from apple consumers, which in turn feeds back to reduce the price of apples again.
These different feedback patterns intern give rise to different systems properties for example negative feedback is a form of self-regulation that typically generates very stable systems.
Where as positive feedback loops often have destabilizing effects, an example of how this works may be seen in a grounded flock of birds, any of which is likely to fly away when it see a neighboring bird fly off, every time another bird reacts and takes flight it increases the likelihood of more birds flying way.
Thus the systems can be said to be unstable due to these positive feedback loop that allows for some small event to propagate through the system. This same dynamic can seen within may other domains such as in financial systems where loss of confidence can cascade through the system generating a bank run.
We have been talking about adaption and feedback loops, but to get complex adaptive systems requires multiple adaptive element interacting, from this micro level interactions adaptive systems can self-organize allowing for the emergence of some macro level pattern.
An example of this might be the formation of a culture, where individuals in close proximity develop standardized method for interaction and coordination through a common set of greetings, language, and rituals. Overtime these micro interactions will develop into a formal cultural system.
These emergent self-organized macro structure, whether they are markets, social institutions or cities then in turn feeds back to effect the actions of individuals within the system both constraining and enabling their future actions.
Given this emergence of new levels of order as the systems evolves, the elements capacity for adaptation and the complex interactions within the system it is almost impossible to predict the future state of a complex adaptive system with any accuracy.
The only viable method for modeling how these systems evolves over times is to simply let them develop and see what happens, fortunately we have computers that can simulate this process.
This method of simulation is called Agent based modeling, where an element is given a simple set of rules that govern its behavior and left to interact to see what macro scale patterns emerge over time. This method has shown that even with very simple rule governing the agent's behavior complex and unpredictable phenomena can arise.... see our website for full transcrition
Twitter: http://bit.ly/2TTjlDH
Facebook: http://bit.ly/2TXgrOo
LinkedIn: http://bit.ly/2TPqogN
https://wn.com/Complex_Adaptive_Systems_Overview
Take the full course: https://www.systemsinnovation.network/courses/7319495/
Twitter: http://bit.ly/2JuNmXX
LinkedIn: http://bit.ly/2YCP2U6
A brief overview to the area of complex adaptive systems and cybernetics.
Transcription:
Complex adaptive systems are systems composed of multiple diverse elements that are cable of adaptation and thus can evolve over time to exhibit highly complex behavior. But lets start from the beginning by talking a bit about adaptation.
Adaptation is a process or capability through which systems can change in response to some event within their environment. In order for this to happen there needs to be some control or regulatory mechanism within the system.
Cybernetics is the area that deals with a systems regulatory mechanism through what are called feedback loops, whereby the actions of a system generates some change in its environment and that change in tern feeds back to effect the system itself.
A classical example given of this is a thermostat that regulates the temperature of a house, the system consists of a central controller where the desired temperature is set, a heater that creates an action that changes the state of the environment, and a sensor to feed back information about the environment to the controller.
Wherever we have this basic degree of interaction and interdependence between elements, we can us the model of an adaptive system and feedback loops to describe its dynamics and thus we can model economies, society and ecosystems in this way.
The different ways in which the interactions between a system and its environment effect each other generates different types of feedback loops, primary among these are what are called positive and negative feedback.
Firstly, Positive feedback is an action that produces more of the same. For example as global temperatures rise, Arctic sea ice melts, as this reflective sea ice disappears the now exposed dark ocean waters absorb more heat which in turn increases global temperature and so on.
In contrast negative feedback produces less of the same action. For example the more the price of apples goes up the less the demand from apple consumers, which in turn feeds back to reduce the price of apples again.
These different feedback patterns intern give rise to different systems properties for example negative feedback is a form of self-regulation that typically generates very stable systems.
Where as positive feedback loops often have destabilizing effects, an example of how this works may be seen in a grounded flock of birds, any of which is likely to fly away when it see a neighboring bird fly off, every time another bird reacts and takes flight it increases the likelihood of more birds flying way.
Thus the systems can be said to be unstable due to these positive feedback loop that allows for some small event to propagate through the system. This same dynamic can seen within may other domains such as in financial systems where loss of confidence can cascade through the system generating a bank run.
We have been talking about adaption and feedback loops, but to get complex adaptive systems requires multiple adaptive element interacting, from this micro level interactions adaptive systems can self-organize allowing for the emergence of some macro level pattern.
An example of this might be the formation of a culture, where individuals in close proximity develop standardized method for interaction and coordination through a common set of greetings, language, and rituals. Overtime these micro interactions will develop into a formal cultural system.
These emergent self-organized macro structure, whether they are markets, social institutions or cities then in turn feeds back to effect the actions of individuals within the system both constraining and enabling their future actions.
Given this emergence of new levels of order as the systems evolves, the elements capacity for adaptation and the complex interactions within the system it is almost impossible to predict the future state of a complex adaptive system with any accuracy.
The only viable method for modeling how these systems evolves over times is to simply let them develop and see what happens, fortunately we have computers that can simulate this process.
This method of simulation is called Agent based modeling, where an element is given a simple set of rules that govern its behavior and left to interact to see what macro scale patterns emerge over time. This method has shown that even with very simple rule governing the agent's behavior complex and unpredictable phenomena can arise.... see our website for full transcrition
Twitter: http://bit.ly/2TTjlDH
Facebook: http://bit.ly/2TXgrOo
LinkedIn: http://bit.ly/2TPqogN
- published: 14 May 2014
- views: 45912
1:19
Complex Adaptive Systems (CAS): Explained
- Order: Reorder
- Duration: 1:19
- Uploaded Date: 15 Sep 2023
- views: 40
Complex Adaptive Systems (CAS) are dynamic networks of interconnected components, like organisms or organizations, that adapt and evolve in response to internal...
Complex Adaptive Systems (CAS) are dynamic networks of interconnected components, like organisms or organizations, that adapt and evolve in response to internal and external changes. They exhibit emergent behavior, where interactions among elements give rise to unpredictable outcomes. CAS theory is used to understand phenomena in various fields, from biology to economics.
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Complex Adaptive Systems (CAS) are dynamic networks of interconnected components, like organisms or organizations, that adapt and evolve in response to internal and external changes. They exhibit emergent behavior, where interactions among elements give rise to unpredictable outcomes. CAS theory is used to understand phenomena in various fields, from biology to economics.
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- published: 15 Sep 2023
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4:48
Pat Ebright - Complex Adaptive System Theory
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Gonzaga Mentor Gallery Clip - 2007. Pat Ebright Complex Adaptive System Theory . Copyright Gonzaga University 2007. Video by JesuitNET.
Gonzaga Mentor Gallery Clip - 2007. Pat Ebright Complex Adaptive System Theory . Copyright Gonzaga University 2007. Video by JesuitNET.
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Gonzaga Mentor Gallery Clip - 2007. Pat Ebright Complex Adaptive System Theory . Copyright Gonzaga University 2007. Video by JesuitNET.
- published: 02 Feb 2010
- views: 35053
12:10
What are complex adaptive systems?
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A system can refer to many things. But for understanding complex adaptive systems, it refers to a group of objects or entities connected to each other in some w...
A system can refer to many things. But for understanding complex adaptive systems, it refers to a group of objects or entities connected to each other in some way. Complex systems are systems characterized by special properties of their organization and behavior. Complex adaptive systems use this organization to process information about their internal condition and external environment, allowing them to respond to a dynamic world. All living things and human societies are complex adaptive system
https://wn.com/What_Are_Complex_Adaptive_Systems
A system can refer to many things. But for understanding complex adaptive systems, it refers to a group of objects or entities connected to each other in some way. Complex systems are systems characterized by special properties of their organization and behavior. Complex adaptive systems use this organization to process information about their internal condition and external environment, allowing them to respond to a dynamic world. All living things and human societies are complex adaptive system
- published: 01 Mar 2021
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16:07
TEDxRotterdam - Igor Nikolic - Complex adaptive systems
Igor Nikolic graduated in 2009 on his dissertation: co-evolutionary process for modelling ...
published: 13 Sep 2010
TEDxRotterdam - Igor Nikolic - Complex adaptive systems
TEDxRotterdam - Igor Nikolic - Complex adaptive systems
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Igor Nikolic graduated in 2009 on his dissertation: co-evolutionary process for modelling large scale socio-technical systems evolution. He received his MSc as a chemical-- and bioprocess engineer at the Delft University of Technology. He spent several years as an environmental researcher and consultant at University of Leiden where he worked on life cycle analysis and industrial ecology. In his research he specializes in applying complex adaptive systems theory and agent based modeling.
On TEDxRotterdam Igor Nikolic left the audience in awe with his stunning presentation and visualizations, mapping complex systems.
About TEDx, x = independently organized event
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized. (Subject to certain rules and regulations.)
18:06
Complex Adaptive Systems (Stonk Market) and How to Beat Them
Complex adaptive systems are stealing your life savings. This video might explain how to g...
published: 11 Jun 2021
Complex Adaptive Systems (Stonk Market) and How to Beat Them
Complex Adaptive Systems (Stonk Market) and How to Beat Them
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Complex adaptive systems are stealing your life savings. This video might explain how to get them back.
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10:23
Complex Adaptive Systems
Follow along with the course eBook: https://systemsinnovation.io/books/
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published: 04 May 2015
Complex Adaptive Systems
Complex Adaptive Systems
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Follow along with the course eBook: https://systemsinnovation.io/books/
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In this module we will be giving an overview to complex adaptive systems, we will first define what we mean they this term, before briefly covering the main topics in this area.
Transcriptions excerpt:
A complex adaptive system is a special class of complex system that has the capacity for adaptation. Thus like all complex systems they consist of many elements, what are called agents, with these agents interacting in a nonlinear fashion creating a network of connections within which agents are acting and reacting to each other’s behavior. Through adaptation agents have the capacity to synchronize their states or activities with other agents locally, out of these local interactions the system can self-organize with the emergence of globally coherent patterns of organization developing. This macro scale organization then feeds back to the micro level, as the system has to perform selection upon the agents based upon their contribution to the whole system’s functioning. And thus there develops a complex dynamic between the bottom up motives of the individual agents and the top down macro scale system of organization, both of which are often driven by different agendas but are ultimately interdependent. It is this interaction between bottom-up differentiation of agents with different agendas going in different directions and top-down integration in order to maintain the global pattern of organization that creates the core dynamic of complexity within these systems. This is a lot of very dense information so we will now try to flesh it out in greater detail through examples.
There are many examples of complex adaptive systems from ant colonies to financial market to the human immune system, to democracies and all types of ecosystems, but we will start on the micro level by talking about the agents and adaptation. An agent is an actor that has the capacity to adapt their state, meaning that given some change within their environment they can in response adjust their own state, so say our agent is a player within a sports game, well if we throw a ball to the person he or she can catch that ball. They are able to do this because they have what is called a regulatory or control system, a control system of this kind consist of a sensor, controller and an actuator, the person is using their optical sense to input information to their brain, the controller, that is then sending out a response to their mussels, the actuator, and through this process they can adjust to generate the appropriate response to this change in their environment. And it is this same process through which a bird in an ecosystem or a trader within a market is receiving information, processing it and generating a response. Typically these agents can only intercept and process a limited amount of local information, like a snail following a trail on the ground it does not have a global vision of the whole terrain around it and it must simply respond to the local information available to it.
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3:34
What are complex adaptive systems?
Introduction by James Watson. Read more here: http://www.stockholmresilience.org/5.3186f82...
published: 12 Mar 2014
What are complex adaptive systems?
What are complex adaptive systems?
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Introduction by James Watson. Read more here: http://www.stockholmresilience.org/5.3186f824143d05551ad3c42.html
57:10
Complex Adaptive Systems - Dave Snowden - DDD Europe 2018
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Domain-Driv...
published: 12 Jun 2018
Complex Adaptive Systems - Dave Snowden - DDD Europe 2018
Complex Adaptive Systems - Dave Snowden - DDD Europe 2018
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Join Dave Snowden's workshop in June '19 in Amsterdam.
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BIOGRAPHY
Founder and chief scientific officer of Cognitive Edge. His work is international in nature and covers government and industry looking at complex issues relating to strategy, organisational decision making and decision making. He has pioneered a science based approach to organisations drawing on anthropology, neuroscience and complex adaptive systems theory. He is a popular and passionate keynote speaker on a range of subjects, and is well known for his pragmatic cynicism and iconoclastic style.
He holds visiting Chairs at the Universities of Pretoria and Hong Kong Polytechnic University as well as a visiting fellowship at the University of Warwick. He is a senior fellow at the Institute of Defense and Strategic Studies at Nanyang University and the Civil Service College in Singapore. His paper with Boone on Leadership was the cover article for the Harvard Business Review in November 2007 and also won the Academy of Management award for the best practitioner paper in the same year.
He has previously won a special award from the Academy for originality in his work on knowledge management. He is a editorial board member of several academic and practitioner journals in the field of knowledge management and is an Editor in Chief of E:CO. In 2006 he was Director of the EPSRC (UK) research programme on emergence and in 2007 was appointed to an NSF (US) review panel on complexity science research.
He previously worked for IBM where he was a Director of the Institution for Knowledge Management and founded the Cynefin Centre for Organisational Complexity; during that period he was selected by IBM as one of six on-demand thinkers for a world wide advertising campaign. Prior to that he worked in a range of strategic and management roles in the service sector.
2:51
Dr. Derek Cabrera provides an introduction to complex adaptive systems (CAS) | Understanding CAS
Dr. Derek Cabrera of Cornell University gives a quick introduction to complex adaptive sys...
published: 16 May 2017
Dr. Derek Cabrera provides an introduction to complex adaptive systems (CAS) | Understanding CAS
Dr. Derek Cabrera provides an introduction to complex adaptive systems (CAS) | Understanding CAS
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Dr. Derek Cabrera of Cornell University gives a quick introduction to complex adaptive systems (CAS).
ABOUT CABRERA RESEARCH LAB:
Born at Cornell University, our research lab studies the problem that underlies all problems: thinking. We do basic and applied research, design innovative tools and technologies, and facilitate public understanding in order to better understand how to align mental models with real-world systems to decrease biases, make better decisions, solve wicked problems, and 'get it right' more often. Check us out: https://www.cabreraresearch.org/
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4:54
Complex Adaptive Systems Overview
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published: 14 May 2014
Complex Adaptive Systems Overview
Complex Adaptive Systems Overview
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A brief overview to the area of complex adaptive systems and cybernetics.
Transcription:
Complex adaptive systems are systems composed of multiple diverse elements that are cable of adaptation and thus can evolve over time to exhibit highly complex behavior. But lets start from the beginning by talking a bit about adaptation.
Adaptation is a process or capability through which systems can change in response to some event within their environment. In order for this to happen there needs to be some control or regulatory mechanism within the system.
Cybernetics is the area that deals with a systems regulatory mechanism through what are called feedback loops, whereby the actions of a system generates some change in its environment and that change in tern feeds back to effect the system itself.
A classical example given of this is a thermostat that regulates the temperature of a house, the system consists of a central controller where the desired temperature is set, a heater that creates an action that changes the state of the environment, and a sensor to feed back information about the environment to the controller.
Wherever we have this basic degree of interaction and interdependence between elements, we can us the model of an adaptive system and feedback loops to describe its dynamics and thus we can model economies, society and ecosystems in this way.
The different ways in which the interactions between a system and its environment effect each other generates different types of feedback loops, primary among these are what are called positive and negative feedback.
Firstly, Positive feedback is an action that produces more of the same. For example as global temperatures rise, Arctic sea ice melts, as this reflective sea ice disappears the now exposed dark ocean waters absorb more heat which in turn increases global temperature and so on.
In contrast negative feedback produces less of the same action. For example the more the price of apples goes up the less the demand from apple consumers, which in turn feeds back to reduce the price of apples again.
These different feedback patterns intern give rise to different systems properties for example negative feedback is a form of self-regulation that typically generates very stable systems.
Where as positive feedback loops often have destabilizing effects, an example of how this works may be seen in a grounded flock of birds, any of which is likely to fly away when it see a neighboring bird fly off, every time another bird reacts and takes flight it increases the likelihood of more birds flying way.
Thus the systems can be said to be unstable due to these positive feedback loop that allows for some small event to propagate through the system. This same dynamic can seen within may other domains such as in financial systems where loss of confidence can cascade through the system generating a bank run.
We have been talking about adaption and feedback loops, but to get complex adaptive systems requires multiple adaptive element interacting, from this micro level interactions adaptive systems can self-organize allowing for the emergence of some macro level pattern.
An example of this might be the formation of a culture, where individuals in close proximity develop standardized method for interaction and coordination through a common set of greetings, language, and rituals. Overtime these micro interactions will develop into a formal cultural system.
These emergent self-organized macro structure, whether they are markets, social institutions or cities then in turn feeds back to effect the actions of individuals within the system both constraining and enabling their future actions.
Given this emergence of new levels of order as the systems evolves, the elements capacity for adaptation and the complex interactions within the system it is almost impossible to predict the future state of a complex adaptive system with any accuracy.
The only viable method for modeling how these systems evolves over times is to simply let them develop and see what happens, fortunately we have computers that can simulate this process.
This method of simulation is called Agent based modeling, where an element is given a simple set of rules that govern its behavior and left to interact to see what macro scale patterns emerge over time. This method has shown that even with very simple rule governing the agent's behavior complex and unpredictable phenomena can arise.... see our website for full transcrition
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1:19
Complex Adaptive Systems (CAS): Explained
Complex Adaptive Systems (CAS) are dynamic networks of interconnected components, like org...
published: 15 Sep 2023
Complex Adaptive Systems (CAS): Explained
Complex Adaptive Systems (CAS): Explained
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Complex Adaptive Systems (CAS) are dynamic networks of interconnected components, like organisms or organizations, that adapt and evolve in response to internal and external changes. They exhibit emergent behavior, where interactions among elements give rise to unpredictable outcomes. CAS theory is used to understand phenomena in various fields, from biology to economics.
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4:48
Pat Ebright - Complex Adaptive System Theory
Gonzaga Mentor Gallery Clip - 2007. Pat Ebright Complex Adaptive System Theory . Copyrigh...
published: 02 Feb 2010
Pat Ebright - Complex Adaptive System Theory
Pat Ebright - Complex Adaptive System Theory
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Gonzaga Mentor Gallery Clip - 2007. Pat Ebright Complex Adaptive System Theory . Copyright Gonzaga University 2007. Video by JesuitNET.
12:10
What are complex adaptive systems?
A system can refer to many things. But for understanding complex adaptive systems, it refe...
published: 01 Mar 2021
What are complex adaptive systems?
What are complex adaptive systems?
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A system can refer to many things. But for understanding complex adaptive systems, it refers to a group of objects or entities connected to each other in some way. Complex systems are systems characterized by special properties of their organization and behavior. Complex adaptive systems use this organization to process information about their internal condition and external environment, allowing them to respond to a dynamic world. All living things and human societies are complex adaptive system
Complex adaptive system
A complex adaptive system is a "complex macroscopic collection" of relatively "similar and partially connected micro-structures" formed in order to adapt to the changing environment and increase its survivability as a macro-structure.
They are complex in that they are dynamic networks of interactions, and their relationships are not aggregations of the individual static entities. They are adaptive in that the individual and collective behavior mutate and self-organize corresponding to the change-initiating micro-event or collection of events.
Overview
The term complex adaptive systems, or complexity science, is often used to describe the loosely organized academic field that has grown up around the study of such systems. Complexity science is not a single theory— it encompasses more than one theoretical framework and is highly interdisciplinary, seeking the answers to some fundamental questions about living, adaptable, changeable systems.
Typical examples of complex adaptive systems include: the global macroeconomic network within a country or group of countries; stock market and complex web of cross border holding companies; social insect (e.g. ant) colonies; the biosphere and the ecosystem; the brain and the immune system; the cell and the developing embryo; manufacturing businesses; and any human social group-based endeavour in a particular ideology and social system such as political parties, communities, geopolitical organisations, war, and terrorist networks of both hierarchical and leaderless nature. The internet and cyberspace - composed, collaborated, and managed by a complex mix of human–computer interactions, is also regarded as a complex adaptive system.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Complex_adaptive_system
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