LEADER 04275nam  22007695  450 
001 9910918596903321
005 20251113193636.0
010   $a9783031759963
010   $a3031759966
024 7 $a10.1007/978-3-031-75996-3
035   $a(CKB)37054922400041
035   $a(MiAaPQ)EBC31855068
035   $a(Au-PeEL)EBL31855068
035   $a(OCoLC)1481901891
035   $a(DE-He213)978-3-031-75996-3
035   $a(EXLCZ)9937054922400041
100   $a20241219d2024      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 14$aThe Agent ID Model $eA Multidisciplinary Framework of Evolutionary Human Behavior /$fedited by Orlando Gomes, Michelle Lins de Moraes, Paulo Fagandini
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (201 pages)
225 1 $aIntegrated Science,$x2662-947X ;$v32
311 08$a9783031759956 
311 08$a3031759958 
327   $aChaper 1. A Holistic Approach to Human Behavior (Orlando Gomes) -- Chapter 2. Complexity and the World of Heterogeneous People (Orlando Gomes) -- Chapter 3. Innovation and Skills: a Contamination Lab Experience in Higher Education Institutions (Subhankar Das) -- Chapter 4. Networks and Connectivity: Metrics and Models (Luís Cavique) -- Chapter 5. Insights on Animal Spirits (Vitor Moutinho) -- Chapter 6. On the Economics of Moral Behavior (Michelle Lins de Moraes) -- Chapter 7. The Influence of Space and Environment on Crime and Economic Indicators: A Systematic Literature Review (João Santos) -- Chapter 8. Behavioral economics and electronic voting (Michelle Lins de Moraes) -- Chapter 9. The Agent ID Model: Motivation and Formal Presentation (Orlando Gomes) -- Chapter 10. Implementing the Agent ID Model and Simulation Results (Paulo Fagandini) -- Chapter 11. Epilogue: Agent-based Transdisciplinarity (Orlando Gomes).
330   $aThis book presents a comprehensive model that simulates human behavior in society, meticulously selecting and analyzing fundamental determinants such as skills and productivity, connectivity and network formation, psychological biases, moral behavior, consumption preferences, institutional arrangements, and political choices. Each agent in the model is characterized by a unique profile, and the aggregate outcomes emerge from the interactions of these diverse agents. The model is codified and simulated, and its results are compared with empirical evidence. This work offers an elegant and stylized approach to understanding complex outcomes resulting from simple interaction rules, making a significant contribution to the literature on complexity and agent-based computational economics. The model developed here serves as a transdisciplinary framework, providing an integrated and holistic perspective on human behavior.
410  0$aIntegrated Science,$x2662-947X ;$v32
606   $aEconomics$xPsychological aspects
606   $aPsychology
606   $aMicroeconomics
606   $aEvolutionary economics
606   $aInstitutional economics
606   $aSocial choice
606   $aWelfare economics
606   $aBehavioral Economics
606   $aBehavioral Sciences and Psychology
606   $aMicroeconomics
606   $aInstitutional and Evolutionary Economics
606   $aSocial Choice and Welfare
615  0$aEconomics$xPsychological aspects.
615  0$aPsychology.
615  0$aMicroeconomics.
615  0$aEvolutionary economics.
615  0$aInstitutional economics.
615  0$aSocial choice.
615  0$aWelfare economics.
615 14$aBehavioral Economics.
615 24$aBehavioral Sciences and Psychology.
615 24$aMicroeconomics.
615 24$aInstitutional and Evolutionary Economics.
615 24$aSocial Choice and Welfare.
676   $a330.019
700   $aGomes$b Orlando$0227041
701   $aLins de Moraes$b Michelle$01780969
701   $aFagandini$b Paulo$01780970
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910918596903321
996   $aThe Agent ID Model$94305544
997   $aUNINA