04446nam a22006375i 4500 978-3-031-75996-3 DE-He213 20251030114625.0 cr nn 008mamaa 241219s2024 sz | s |||| 0|eng d 9783031759963 978-3-031-75996-3 10.1007/978-3-031-75996-3 doi HB71-74 KCK bicssc BUS069030 bisacsh KCK thema The Agent ID Model [electronic resource] : A Multidisciplinary Framework of Evolutionary Human Behavior / edited by Orlando Gomes, Michelle Lins de Moraes, Paulo Fagandini. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. IX, 196 p. 40 illus., 32 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Integrated Science, 2662-947X ; 32 Chaper 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). This 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. Economics Psychological aspects. 59551 Psychology. 63758 Microeconomics. 58393 Evolutionary economics. 70780 Institutional economics. 70781 Social choice. 70816 Welfare economics. 59134 Behavioral Economics. 69174 Behavioral Sciences and Psychology. 68075 Microeconomics. 58393 Institutional and Evolutionary Economics. 70782 Social Choice and Welfare. 73460 Gomes, Orlando. editor. (orcid)0000-0002-5988-4790 https://orcid.org/0000-0002-5988-4790 edt http://id.loc.gov/vocabulary/relators/edt 89125 Lins de Moraes, Michelle. editor. edt http://id.loc.gov/vocabulary/relators/edt 89126 Fagandini, Paulo. editor. edt http://id.loc.gov/vocabulary/relators/edt 89127 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031759956 Printed edition: 9783031759970 Printed edition: 9783031759987 Integrated Science, 2662-947X ; 32 79189 https://doi.org/10.1007/978-3-031-75996-3 ZDB-2-ECF ZDB-2-SXEF 65820 65820