æ¥æ¬ã®è£½é æ¥ã®ç 究ããã¤ããã¼ã·ã§ã³ã®æ¬è³ªã解ãæããããç¥èåµé çè«ããæ¥æ¬è»ã®ææ¦ã®éç¨ã®å ±åç 究ã失æã®æ¬è³ªãã§ç¥ãããçµå¶å¦è ãéä¸é次éæ°ã¯ä¼æ¥ã®çµå¶è ã«å¤§ããªå½±é¿ãä¸ãã¦ãããããããéä¸æ°ãä¸çã®ITã¨ã³ã¸ãã¢ã«å½±é¿ãä¸ãã¦ãããã¨ã¯ãã¾ãç¥ããã¦ããªãã80年代ã®éä¸æ°ã¨ç«¹å å¼é«æ°ã®è«æãããã¹ã¯ã©ã ãã¨ããã½ããã¦ã§ã¢éçºã®æ¹æ³ãçã¿åºããã¸ã§ãã»ãµã¶ã¼ã©ã³ããè¿ãæ¥æ¥ãããã¨ãæ©ã«ããã®æµããç´¹ä»ãããã ãªãéä¸çè«ã¯äºãããã¨ã«è©±é¡ã«ãªãã®ã ãé½åºã¯ææ¦ããããã«ã¯ããã¾ããããã ããèªã£ã¦å°æ± ç¾ååæ±äº¬é½ç¥äºã¯ãã失æã®æ¬è³ªâæ¥æ¬è»ã®çµç¹è«çç 究ããã就任æ©ã ã®ä¼è¦ã§èªèº«ã®åº§å³ã®æ¸ã¨ãã¦ç´¹ä»ããããã®ãã¥ã¼ã¹ãã¡ãã£ã¢ã«æµããã¨ãæ¸åºã«ã¯å°æ± æ°æ¨è¦ã¨ãã触ãè¾¼ã¿ã§ãåæ¸ããã¹ãã»ã©ã¼ã³ã¼ãã¼ã«ç©ã¿ä¸ããããã ã失æã®æ¬è³ªãã¯éä¸æ°ãå§ãè¤æ°ã®ç 究è ã«ããå ±è
ã¸ã¢ã³ãã©ã¤ã¿ã¼ã®æ ¹å²¸éæã§ãã åçªã«ãªã«ãã¨æãããããããã¾ããããçããããç¥ã£ã¦ã¾ãï¼ ã ã ã 製 éã å®ã¯ãããå³¶æ ¹çãä¸å¿ã¨ããä¸å½å°æ¹ã§å¶ã¾ãã¦ããä¼çµ±çãªéã¥ããã®ææ³ãã¾ããè¨ããªãã°ãæ¥æ¬ã®éã¥ããã®ã«ã¼ãã¿ãããªãã®ã§ããã ä»åã¯ãã®ããã製éãåæããç®çã§ãæ¿æ¬¡éç·¨éé·ã¨ä¸ç·ã«å³¶æ ¹çã®å¥¥åºé²å°æ¹ã«è¡ã£ã¦ããã®ã§ãããããããããããªãã¨ããã¾ãããããâ¦â¦ ãã¡ããã¡ãæ·±ãã£ãã ä½ããããªã«ãããã£ãã®ãã¯ãããããå§ã¾ãã話ã®ãªãã§ãä¼ããããã¨æã£ã¦ããã®ã§ãããã¾ããã®åã«ãããã製éã¨ã¯ãªããããã¨ããã¨ããã§ãç°¡åã«ãã®æ¦è¦ã ã説æããã¦ãã ããã ããã製éã¯ãæ±æ¸æ代åæã«ãã®ååãå®æããéã¥ããã®ææ³ããã¤ã¦ã¯æ¥æ¬ã®éã®8å²ä»¥ä¸ããã®ææ³ã«ãã£ã¦çã¿åºããã¦ããããã§ãã ç¹ã«åå£ç¨ãç·ã大好ããªæ¥æ¬åã®é¼ã¨ãã¦åªããå質ãèªã£ã¦ãã
ç¬èªã®å¶ä½ç°å¢ï¼ç 究éçºã«ãã£ã¦å°ãåºãããã¡ãã£ã¢ã¢ã¼ãããã¯ããã¸ã¼æ¼åºãä¸ã«éãåºãã¯ãªã¨ã¤ã¿ã¼éå£ãRhizomatiksããã®ä¸ã§ãç 究éçºããã¼ã¹ã«æ°ããªè¡¨ç¾ãçã¿åºãã¦ããé¨éãRhizomatiks Researchï¼ä»¥ä¸ã©ã¤ã¾ããªãµã¼ãï¼ã ã æ°ã ã®ä½åã®ä¸ã§ç¥ããããã®ã§ã¯ã2014å¹´ã®NHKç´ ç½æåæ¦ã§ã®ãã¯ããããã¦ãããPerfumeã®ã©ã¤ã´ã«ã¦å¶å¾¡ãããããã¼ã³ãé£ã°ãããã¯ããã¸ã¼æ¼åºãã2016å¹´ã«ã¯ã¢ã¤ã¹ã©ã³ãã®ã·ã³ã¬ã¼Björkã«ããã©ã¤ã´ããã©ã¼ãã³ã¹ã®360度VRæ åã®ãªã¢ã«ã¿ã¤ã ã¹ããªã¼ãã³ã°é ä¿¡ãæããããã®ä»ã¾ã§ã«ãªãããã©ã¼ãã³ã¹ã«è¦³è¡ã¯æ²¸ããã å½¼ãã¯ã¸ã£ã³ã«ãåããæ°å¤ãã®ã¯ãªã¨ã¤ã¿ã¼ã¨ã³ã©ãã¬ã¼ã·ã§ã³ãè¡ããã¡ãã£ã¢ã¢ã¼ãä½åããä¼æ¥ã®åºåæ¡ä»¶ã¾ã§å¹ åºãåéã§æ´»èºãããã¼ã³ãVRï¼ARãªã©ãã¼ãã¦ã§ã¢ã¨ã½ããã¦ã§ã¢ã®ä¸¡é¢ãããã¾ãã¾ãªå
ãå¹³åæ§ç¯ããå°éã«ããå½éé¢ä¿å¦è ç¯ ç°è±æï¼æ±äº¬å¤å½èªå¤§å¦ææï¼ã®ããã°ã§ããç¯ ç°ãèªåèªèº«ã§èä½ã»è«æã«é¢ããæ å ±ããæã ã®æè¦ã»è§£èª¬ãæ¸ãã¦ãã¾ããéå»ã®ããã°è¨äºã¯ã転è¼ãã¦ãã ãã£ã¦ãããã¢ã´ã©ãããããä¸è¦§ãã¾ã¨ãã¦ãã ãã£ã¦ãã¾ããhttp://agora-web.jp/archives/author/hideakishinoda ãã©ã³ãç±³å½æ°å¤§çµ±é ã«ã¤ãã¦ãç¹°ãè¿ããå¤ç«ä¸»ç¾©ãã¨ããæ¦å¿µã§æåãã試ã¿ããªããã¦ãããã ãéæ¿ãªçºè¨ã§ç¥ããããã©ã³ã大統é ããå¤ç«ä¸»ç¾©ãã¨ããã®ã¯ãã©ããããã¨ã ãããã TTPï¼ç°å¤ªå¹³æ´æ¦ç¥ççµæ¸é£æºåå®ï¼ããã®è±éã®æ¿çããå½éå調主義ããã®æ¤éãæå³ããã¨è§£éããããå¤ç«ä¸»ç¾©ãã¨æåããããããããã ãã ããã©ã³ã大統é ã¯ãè±å½ãæ¥æ¬ã¨ã®éã«äºå½é貿æåå®ãçµã¶ãã¨ãç®æãã¦ããããã§ãããåãªããå¤ç«ä¸»ç¾©ãè ã«ã¯è¦ããªããå®å ¨ä¿éã®
3. ç 究ï¼ä¸»ã«ã²ã¼ã çè«ï¼ ⢠Google Scholar Citations ⢠çµæ¸å¦ â Resolving Conflicting Preferences in School Choice: The "Boston Mechanism" Reconsidered American Economic Review, Vol.101(1), 2011. ⢠è¨ç®æ©ç§å¦ï¼ãã«ãã¨ã¼ã¸ã§ã³ãï¼ â Strategy-proof Matching with Regional Minimum Quotas, AAMAS2014 (Full Paper), 2014. ⢠ã¢ã«ã´ãªãºã ã人工ç¥è½ â Strategy-proof Matching with Regional Minimum and Maximum Quotas, Artificial Intelligence, Vol.23
éç°å°å³ èå°ã足跡姫ãããçªçãªãããããã¡ã ãªãã ï¼ NODAã»MAPã足跡姫ã観åã¬ãã¥ã¼ ãä¸æåä¸éã¸ã®ãªãã¼ã¸ã¥ãã¨ãã¦æ¸ãããã足跡姫ããæè¿ã¯è¸äººããããçªçãæ®ãããªãã¦ããè¨ã£ã¦ã¾ãããçªçãªãããããã¡ãªãã§ããçªçã¯ããããèã«åºãããæã«ååã«ãã¦æ®ãç¨åº¦ã 人ã¯ï¼æ¬ã®è¶³ã§éãªãéãæ©ãã¦éãä½ãããããèªåã®çãã証ã«ç¹ããã ã¿ã¤ãã«ãè¦ãã¨ãã«ãã¾ãã足跡ãâè¸è¡âã«ãªããªãã¦å¤¢ã«ãæããªãã£ãã§ããã©ãããã¿ãªã®ã¿ã¤ãã«ã§ããããã¦å®®æ²¢ããããããããªãã¹ããªããã¼ã ãªãã¦ï¼æ¼åãã¾ã ã¾ã æ¨ã¦ããããããªãã§ããï¼ï¼ç¬ï¼ è¨èã®ãã¸ã·ã£ã³éç°ç§æ¨¹ éç°å°å³ èå°ã足跡姫ããã æåã¯ç®ã®åã§ã³ã¤ã³ãæ¶ããæã«ãâæ¶ããâï¼ã¨ä¿¡ãè¾¼ã¾ãã¦ãããã éç°ããã®è¨èã¯ãåãé³ã®è¨èããå®ã¯ãã¨ãã¨æå³ãæã£ã¦ç¹ãã£ã¦ããè¨èãªããããªããã¨æããã¦ãããã æå
ä½åãçºè¡¨ãããã³ã«æ¯åãé©ããããªåãå£ãè¦ãæ¹ã§è¦³å®¢ã楽ãã¾ããæ·±ãèãããããã¦æ°é®®ãªæ¼åä½é¨ã«ãããªã£ã¦ãããéç°ç§æ¨¹ãä»åã®NODAã»MAPã®æ°ä½ã足跡姫ï½æ代é¯èª¤å¬å¹½éï¼ã¨ãããã¾ã£ã¦ãµãã®ããããï¼ï½ãã¯ãéç°ã®çåã ã£ãæ ã»åå «ä»£ç®ä¸æåä¸éã¸ã®ãªãã¼ã¸ã¥ã¨ãã¦æ¸ããã宮沢ããã妻夫æ¨è¡ãå¤ç°æ°å¤ªã¨ãã£ãNODAã»MAPã«ã¯å¸¸é£ã¨ãããï¼ã¨ãã£ã¦ãã宮沢ã¨å¦»å¤«æ¨ã妻夫æ¨ã¨å¤ç°ã¯ãããèå°åé¡åããã ã¨ããã®ãè¦ã©ããã®ã²ã¨ã¤ï¼ãã£ã¹ããå¾ã¦ã®ã大注ç®ä½ã¨ãªã£ã¦ããã1/18ï¼æ°´ï¼ã®åæ¥éå¹ãæ§ããåæ¥ã«å ¬éãããã²ãããã観ãã åå ´ã«å ¥ã£ã¦ã¾ãç®ã«é£ã³è¾¼ãã§ããã®ããä¸é客å¸å·¦æã«ç¹è¨ãããè±éããã®è±éããèå°å ¨ä½ãæ¿å¼µãã¨ãªã£ã¦ããã¨ãããæ©ããæèä¼ãèå± å°å±ãé£æ³ãããããã§ã¼ã³ï¼ã¨æï¼ã²ããããï¼ã®é³ãé¿ãã¨ãèå°åºã«åºãããã¦ãããæ¡ã®å¤§æ¨ãæãããç·å¸³ããã£
iPhoneã®ã¹ãã¬ã¼ã¸å®¹éã足ããªãã¦ãiOSã®ã¢ãããã¼ããã¢ããªã®ã¤ã³ã¹ãã¼ã«ãã§ããªããåçãåç»ãæ®ããªãã¨ãã£ãçµé¨ããã人ã¯å°ãªããªãã§ããããæ®æ®µä½ã®æ°ãªãã«ä½¿ã£ã¦ããã¨ãiPhoneã®å®¹éã¯ããã«ãã£ã±ãã«ãªã£ã¦ãã¾ãã¾ãã ããã§æ¬è¨äºã§ã¯ãiPhoneã®å®¹éä¸è¶³ã解æ¶ãããã¨ãã«ãã¢ããªãåçããã£ãã·ã¥ãã·ã¹ãã ãã¼ã¿ï¼æ§ãã®ä»ï¼ãªã©ã®ä½åãªãã¼ã¿ãæ¸ããã¦ã空ã容éãå¢ããæ¹æ³ãã¾ã¨ãã¦è§£èª¬ãã¾ãã
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}