Advances in the agent-based modeling of economic and social behavior
| Autor: | Eva Camacho Cuena, Thomas Lux, Simone Alfarano, Giulia Iori, Fariba Karimi, Mitja Steinbacher, Matthias Raddant |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
computational economics
Agent-based models Computational economics Computer science Model calibration L20 HB Computational social science behavioral economics computational social science Review heuristic design Behavioral economics 01 natural sciences 010305 fluids & plasmas E70 0502 economics and business 0103 physical sciences D90 050207 economics G17 model calibration Agent behavior Management science Heuristic 05 social sciences Heuristic design General Medicine agent-based models C60 B41 Social system networks Computational sociology State (computer science) Networks G40 |
| Zdroj: | SN Business & Economics Repositori Universitat Jaume I Universitat Jaume I |
| ISSN: | 2662-9399 |
| Popis: | In this review we discuss advances in the agent-based modeling of economic and social systems. We show the state of the art of the heuristic design of agents and how behavioral economics and laboratory experiments have improved the modeling of agent behavior. We further discuss how economic networks and social systems can be modeled and we discuss novel methodology and data sources. Lastly, we present an overview of estimation techniques to calibrate and validate agent-based models and show avenues for future research. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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