The Agent ID Model: A Multidisciplinary Framework of Evolutionary Human Behavior

Gomes, Orlando; Lins de Moraes, Michelle; Fagandini, Paulo

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.

Details

Published by: Springer

Publication Date: 2024-12-20

Format: Hardcover

ISBN-13: 9783031759956

DOI: 10.1007/978-3-031-75996-3

Dimensions: 235.0cm x155.0cm

Pages: 196.0