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Agent-based Models (ABMs) are valuable tools for policy analysis.
Models of segregation
Thomas C Schelling · 1969
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The logic of animal conflict
J Maynard Smith and George R Price · 1973
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The evolution of cooperation
Robert Axelrod and William Donald Hamilton · 1981
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Complexity in economic theory: Inductive reasoning and bounded rationality
W Brian Arthur · 1994
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ACT: A simple theory of complex cognition
John R Anderson · 1996
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Control in ACT-R and Soar
Todd R Johnson · 1997
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A brief history of stigmergy
Guy Theraulaz and Eric Bonabeau · 1999
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Policy gradient methods for reinforcement learning with function approximation
Richard S Sutton, David A McAllester, Satinder P Singh, and Yishay Mansour · 2000
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Multiagent systems: A survey from a machine learning perspective
Peter Stone and Manuela Veloso · 2000
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The structure of adaptive competition in minority games
Radu Manuca, Yi Li, Rick Riolo, and Robert Savit · 2000
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From minority games to real markets
Damien Challet, Alessandro Chessa, Matteo Marsili, and Yi-Cheng Zhang · 2001
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Evolving neural networks through augmenting topologies
Kenneth O Stanley and Risto Miikkulainen · 2002
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Generative social science: Studies in agent-based computational modeling
Joshua M Epstein · 2006
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Can influenza epidemics be prevented by voluntary vaccination?
Raffaele Vardavas, Romulus Breban, and Sally Blower · 2007
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Multi-agent reinforcement learning: An overview
Lucian Buşoniu, Robert Babuška, and Bart De Schutter · 2010
Modeling influenza vaccination behavior via inductive reasoning games
Raffaele Vardavas and Christopher Steven Marcum · 2013
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Minority games: interacting agents in financial markets
Damien Challet, Matteo Marsili, Yi-Cheng Zhang, et al · 2013
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Agent-based models for policy analysis
Lawrence Blume · 2015
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A general agent-based model of social learning
Sarah A Nowak, Luke Joseph Matthews, and Andrew M Parker · 2017
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Multi-agent actor-critic for mixed cooperative-competitive environments
Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, OpenAI Pieter Abbeel, and Igor Mordatch · 2017
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A unified game-theoretic approach to multiagent reinforcement learning
Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Pérolat, David Silver, and Thore Graepel · 2017
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Explaining embodied cognition results. topics in cognitive science, 4 (4), 773-785, 2012
G Lakoff · 2012
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Multiagent learning: Basics, challenges, and prospects
Karl Tuyls and Gerhard Weiss · 2012
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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Rand’s interdisciplinary behavioral and social science agent-based model of income tax evasion: Technical report
Raffaele Vardavas, Pavan Katkar, Andrew M Parker, Gursel Rafig oglu Aliyev, Marlon Graf, and Krishna B Kumar · 2019
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