![](https://static.wixstatic.com/media/871f01_80815aee5d254c8188e79981d3576e8f~mv2.jpg/v1/fill/w_144,h_104,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/871f01_80815aee5d254c8188e79981d3576e8f~mv2.jpg)
ååãäžå¹Žç®ã®ããã°ã©ã ã®æŠç¥ã«ã€ããŠçŽ¹ä»ããã®ã§ãä»åã¯ååç©ã¿æ®ãã«ãªã£ãŠãã6ã€ã®å±¥ä¿®ç§ç®ã®ãã¡2ã€ãåãäžããŠããã®å 容ã«ã€ããŠç°¡åã«çŽ¹ä»ãããã
1. ã¿ã¬ã³ããã£ããããã¡ã³ããšåµé æ§
ãã®ææ¥ãåãæã€ã®ã¯ãããã°ã©ã 責任è ã§ããã«ãŒãã»ããŒã¿ã€ã§ãããããŒã¿ã€ã®ç 究ããŒãã¯ãã¹ããŒãéžæãçºæ®ããããã©ãŒãã³ã¹ã®åçãªå€åã»å€åããã€ãããã¯ã·ã¹ãã çè«ã®ã¢ãããŒãã§æ¢ç©¶ããããšã«ããã
ç§ã¯ã圌ãå士è«æã§åãäžããŠããã1/fæºããïŒå¥å âãã³ã¯ãã€ãº"ãšãåŒã°ããŠããã人éã®è³æ³¢ãå¿ææ°ã®æ³¢ã«èŠãããçŸè±¡ã§ããã人éã®ç¥æ§çºéããã»ã¹ã«ãåºæã®æºãããèŠãããã®ã§ã¯ãšæšæž¬ããŠãããããã調æ»ãããïŒããšãè€éæ§ãããã¯ãŒã¯ïŒäººéã®ç¥æ§ãèœåã¯ãäžäœã«ååšããç¡æ°ã®æ§æèŠçŽ ããããã¯ãŒã¯ãæ§ç¯ããããšã«ãã£ãŠçºåãããã
ãããçºéããéã«ã¯ããããã¯ãŒã¯ã®çžäºäœçšãéµãæ¡ããšèããŠãããããè€éæ§ãããã¯ãŒã¯åæã®ææ³ã«ç²Ÿéããããšã¯èªåã®ç 究ããŒãã«äžå¯æ¬ ãªããšã ãšæã£ãŠããïŒãã«é¢ããåæææ³ã«é¢å¿ãããããã®ã¯ã©ã¹ã®äžã§ããããã¯ã¯ã©ã¹å€ã§ãããã®åæææ³ã«ã€ããŠåœŒããæããåããããšæã£ãŠããã
ãã®ã¯ã©ã¹ã®æŠèŠã翻蚳ãããšããããžãã¹çãã¹ããŒãçãæè²çãèžè¡çã«ãããŠãæèœã®çºæãšãã®æé·æ¯æŽã¯äžå¯æ¬ ãªãã®ãšãªã£ãŠãããããããèæ¯ãããšã«ãç¥æ§ãèœåã®çºéæ¯æŽã«é¢ããç 究ããã泚ç®ãéããŠããããã®ã¯ã©ã¹ã§ã¯ãã¿ã¬ã³ããã£ããããã¡ã³ããšåµé æ§ã«é¢ããæ§ã ãªçè«ã玹ä»ãã枬å®ææ³ãçºéæ¯æŽã®ææ³ã«ã€ããŠãã£ã¹ã«ãã·ã§ã³ãããŠããããšããå 容ã§ããã
ãã®æŠèŠãåããŠããã®ã¯ã©ã¹ã«é¢ããèªåãªãã®éæç®æšãåèšãããšä»¥äžã®é ç®ãšãªãã
ã»ã¿ã¬ã³ããã£ããããã¡ã³ããšåµé æ§ã«é¢ããå€æ§ãªæŠå¿µãšå è¡ç 究ã®ç解ãæ·±ããããš
ã»ç¥æ§ã»èœåã»åµé æ§ã®çºéæ¯æŽã«é¢ããåçãšãã®ææ³ã«ã€ããŠç解ãæ·±ããããš
ã»ç¥æ§ã»èœåã»åµé æ§ã®çºéèŠå ã«ã€ããŠç解ãæ·±ããããš
ã»ç¥æ§ã»èœåã»åµé æ§ã®æž¬å®ææ³ã«ã€ããŠç解ãæ·±ããããš
Âã»æ·±ããããç解ãããšã«ãäŒæ¥çµç¹ãšæè²çãšããäºã€ã®å®åé åã§å ·äœçãªå®è·µïŒãããžã§ã¯ããªã©ïŒãè¡ãããš
Â
Â
2. è€éæ§ãšäººéçºé
ç§ãæã楜ãã¿ã«ããŠããã¯ã©ã¹ã¯ããã§ããããããŒãã³ã²ã³å€§åŠãéžãã ã®ã¯ããã®ã¯ã©ã¹ãååšããŠããããã ããšèšã£ãŠãéèšã§ã¯ãªãã
ãã®ã¯ã©ã¹ãæ åœããã®ã¯ãç¥æ§ãèœåã®çºéç 究ã«éç·åœ¢ç§åŠãå¿çšããŠããå é§çãªç 究è ã©ã«ãã»ã³ãã¯ã¹ãšãã€ãããã¯ã·ã¹ãã çè«ãšæ°ãã¢ãžã§æŽŸçè«ã«é¢ããŠãšãŒãããã代衚ããç 究è ã§ãããµã¹ãã€ã»ã¯ãã³ïŒç§ã®ä¿®å£«è«æã®ã¢ããã€ã¶ãŒïŒãšããäºäººã®ææã ã
ãã®ã¯ã©ã¹ã§ã¯ãè¿å¹Žã«ãããçºéç 究ã§çç®ãããŠããç 究ææ³ããã€ãããã¯ã·ã¹ãã ã¢ãããŒããã«é¢ããçè«ãšæ¹æ³ã«ã€ããŠåŠã³ãæ·±ããããšãç®æšãšãªããç 究ã®ã¿ãªããããã€ãããã¯ã·ã¹ãã ã¢ãããŒããèšåºãå®åã®çŸå Žã§ã©ã®ããã«æŽ»çšã§ããã®ãããšããå®è·µçãªå 容ãæ±ãã¯ã©ã¹ã§ããã
ææ¥ãå§ãŸããç§èªèº«ãåŠã³ãæ·±ããéçšã®äžã§è©³çŽ°ã«ã€ããŠèª¬æããŠããããããç°¡åã«ã©ããªææ³ãåŠã¶ã®ãã«ã€ããŠçŽ¹ä»ãããã
ã»ãã€ãããã¯ã·ã¹ãã ã¢ãã«ã®æ§ç¯ïŒdynamic systems model buildingïŒïŒè€éãªçºéçŸè±¡ã«æœãã¡ã«ããºã ãããã»ã¹ã解æããããã«ãæ°åŒã¢ãã«ãçµã¿ç«ãŠãå¿ èŠããããæ°åŒã¢ãã«ãçµã¿ç«ãŠãåã«ãçŸè±¡ããçºéèŠå ãæœåºããã²ãšãŸãçè«ã¢ãã«ãæ§ç¯ããå¿ èŠããããè€éãªçºéçŸè±¡ã«è¿«ãããã«ãçè«ã¢ãã«ãšæ°åŒã¢ãã«ãæ§ç¯ããããšãããã€ãããã¯ã·ã¹ãã ã¢ãã«ã®æ§ç¯ããšåŒã¶ã
ã»ãšãŒãžã§ã³ãã»ããŒã¹ã»ã¢ãã«ïŒagent based modelïŒïŒã³ã³ãã¥ãŒã¿ã¢ãã«ã®äžã€ã§ãããç¥æ§ãèœåã®æ§æèŠçŽ ã®æ¯ãèããšãããã®çžäºäœçšãã·ã¹ãã å šäœã«ã©ã®ãããªåœ±é¿ãäžããã®ããåæããããã®ã·ãã¬ãŒã·ã§ã³ææ³ã®ããšãæãã
ç¥æ§ãèœåã®æ§æèŠçŽ ããããããèªåŸçãªæ¯ãèããããååšïŒãšãŒãžã§ã³ãïŒãšã¿ãªãããããã®çžäºäœçšã®ç¶æ³ãã³ã³ãã¥ãŒã¿äžã§ã·ãã¬ãŒã·ã§ã³ããããšã«ãã£ãŠãè€éãªçºéçŸè±¡ãåçŸããçºéããã»ã¹ã®äºæž¬ãè¡ãããšãªã©ã«æŽ»çšã§ããã
ã»ãªãµã³ããªã³ã°ïŒresamplingïŒïŒãã€ãããã¯ã·ã¹ãã ã¢ãããŒãã«ãããŠãæ§ã ãªã·ãã¬ãŒã·ã§ã³ãè¡ãããšãèŠæ±ããããããæ¯éå£ããæšæ¬ãã©ã³ãã ã«ç¹°ãè¿ãæœåºããå¿ èŠããããããããç¹°ãè¿ãã®æœåºã®éã«è¡ãããã®ããªãµã³ããªã³ã°ïŒåæšæ¬åïŒã§ããã
ã»åçºçŸè±¡åæïŒrecurrence analysisââæ¥æ¬èªã®æ£ç¢ºãªèš³ã¯äžæïŒïŒéç·åœ¢çãªçŸè±¡ã調æ»ããæã«çšããããææ³ã§ãããç¹ã«äººéã®ç¥æ§ãèœåãšãã£ããã€ãããã¯ãªã·ã¹ãã ã¯ã䌌ããããªç¶æ ãç¹°ãè¿ã蟿ããªããçºéããŠãããããããåçºçŸè±¡ã®åæ°ãæ»çæéãªã©ãç¹å®ããããã®åæææ³ã§ããã
ã»ãã©ã¯ã¿ã«ã®å°ºåºŠåïŒfractal scalingïŒïŒç¥æ§ãèœåã¯ãã©ã¯ã¿ã«æ§é ïŒéšåãšå šäœãèªå·±çžäŒŒã«ãªã£ãŠããæ§é ïŒãæã£ãŠããã倧å€èå³æ·±ãããšã«ãèªç¶çã«ãããæ§ã ãªçŸè±¡ã¯åºæã®ãã©ã¯ã¿ã«æ¬¡å ãæã€ãäŸãã°ãæã®ãã©ã¯ã¿ã«æ¬¡å ã¯çŽ1.2ãæš¹æšã¯1.3ã1.8ãé²ã¯çŽ1.35ã§ãããèªç¶çŸè±¡ã®ã¿ãªããã人éã®ç¥æ§ãèœåã®çºéããã»ã¹ã«ãåºæã®ãã©ã¯ã¿ã«æ¬¡å ãããã®ã§ã¯ãªãããšä»®èª¬ãç«ãŠãŠããã
ãã®ã¯ã©ã¹ã§ã¯äžèšã®åæææ³ãäžå¿ã«åŠç¿ããå°ãªããšãäºã€ã®åæææ³ãçšããŠããããŒãã«ã€ããŠç 究ããããå®åã®çŸå Žã§ã©ã®ããã«ãããã®ææ³ã掻çšã§ããã®ããã¢ã¯ã·ã§ã³ãã©ã³ã®åœ¢ãšããŠææ«ã®ã¬ããŒãã«ãŸãšãäžããå¿ èŠãããã
ãšã¯ã»ã«ãé§äœ¿ããŠã©ã³ãã ãŠã©ãŒã¯ã¢ãã«ãããžã¹ãã£ãã¯æé·ã¢ãã«ãæ§ç¯ããããšããNetLogoãšåŒã°ããã·ãã¬ãŒã·ã§ã³çšã®ããã°ã©ã ãé§äœ¿ããŠåçŽãªãšãŒãžã§ã³ãã»ããŒã¹ã»ã¢ãã«ãæ§ç¯ããããšãäžèšã®åæææ³ã®çè«çãªåæãæ€èšŒããããšãMATLABãšåŒã°ããæ°å€è§£æãœãããŠã§ã¢ãçšããŠåçºçŸè±¡åæããã©ã¯ã¿ã«ã®å°ºåºŠåãè¡ãããšããªã©ããã®ä»ã®èª²é¡ãšãªãã
äžã€äžã€ã®åæææ³ã¯ãç 究è ãšããŠã®ä»åŸã®èªåã«ãšã£ãŠæ¥µããŠéèŠã§ãããããæ©äŒãèŠã€ããŠäžå¯§ã«ããããã玹ä»ããããšæãããã€ãããã¯ã·ã¹ãã çè«ãæã€æ§ã ãªã¢ãããŒãã¯ãäžèŠãããšé£ãããã«æããããåã¢ãããŒãã®æ¬è³ªãšãªãæŠå¿µãæŒãããããšããã§ããã°ãå®å家ã®æ¹ãã¡ãããããã®å®åé åã§ãã€ãããã¯ã·ã¹ãã çè«ã®èãæ¹ãå¿çšããããšãå¯èœã ãšæã£ãŠããã
äŸãã°ãçµç¹éçºã®éã«ãå€æ§ãªæ§æå¡ïŒãšãŒãžã§ã³ãïŒã®æ¯ãèããšçžäºäœçšã«é¢ããŠäœãããã®èª¬æè«çãæã€ããšãã§ããã°ãåé¡çºèŠã課é¡è§£æ±ºã«æçšã§ãããšèããŠããããŸããã³ãŒããã»ã©ãã¹ããšãã£ã察人é¢ä¿ã®å°é家ã«ãšã£ãŠãã¯ã©ã€ã¢ã³ãäžäººäžäººã®çºéããã»ã¹ãšãã®ç¶æ ãç解ããŠããããšã¯å¿ é ã§ãããšèããŠããããã€ãããã¯ã·ã¹ãã çè«ã¯ããããå°éè·ã®æ¹ã«ãšã£ãŠãæçã§ãããšæãã
å人ãšçµç¹ã®è€éãªæé·ã»çºéããã»ã¹ãšãã®ã¡ã«ããºã ã«é¢ããå®èšŒçãªç 究ææãšå®åã®äžçã«ããããã€ãããã¯ã·ã¹ãã çè«ã®å¿çšæ¹æ³ãªã©ã«ã€ããŠãä»åŸãã²ãšãåãäžããŠããããã