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E-grāmata: Agent ID Model: A Multidisciplinary Framework of Evolutionary Human Behavior

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  • Formāts: EPUB+DRM
  • Sērija : Integrated Science 32
  • Izdošanas datums: 19-Dec-2024
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031759963
  • Formāts - EPUB+DRM
  • Cena: 154,65 €*
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  • Formāts: EPUB+DRM
  • Sērija : Integrated Science 32
  • Izdošanas datums: 19-Dec-2024
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031759963

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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.

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 (Luķs 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
(Joćo 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).
Orlando Gomes is a Full Professor of Economics at the Lisbon Accounting and Business School (ISCAL) of the Lisbon Polytechnic Institute. He earned his Ph.D. from the Lisbon University Institute in 2002. His research interests encompass macroeconomics, economic growth, behavioral economics, complexity dynamics, and agent-based models.





Michelle Lins de Moraes is a Professor of Economics at ISCAL. She holds a Ph.D. in Economics and Public Policy from Universitą degli Studi di Ferrara (Italy) and Universidade Federal do Maranhćo (Brazil). She has extensive international experience as a researcher and lecturer. Her research focuses on behavioral economics, sustainability, and innovation.





Paulo Fagandini Ruiz is a Professor of Economics at ISCAL. He earned his Ph.D. in Economics from Nova School of Business and Economics, where he also teaches Masters and Doctoral summer courses. His research specializes in applied microeconomic theory and empirical microeconomics. Additionally, he has experience as a private sector consultant.