Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Cognition and Multi-Agent Interactions: From Cognitive Modeling to Social Simulation
Cognition and Multi-Agent Interactions: From Cognitive Modeling to Social Simulation
Simulation for the Social Scientist
Simulation for the Social Scientist
Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics (Handbook of Computational Economics)
State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments
INFORMS Journal on Computing
Cognitive Social Simulation Incorporating Cognitive Architectures
IEEE Intelligent Systems
A use-case approach to the validation of social modeling and simulation
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
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The Theory of Planned Behavior TPB provides a conceptual model for use in assessing behavioral intentions of humans. Agent based social simulations seek to represent the behavior of individuals in societies in order to understand the impact of a variety of interventions on the population in a given area. Previous work has described the implementation of the TPB in agent based social simulation using Bayesian networks. This paper describes the implementation of the TPB using novel learning techniques related to reinforcement learning. This paper provides case study results from an agent based simulation for behavior related to commodity consumption. Initial results demonstrate behavior more closely related to observable human behavior. This work contributes to the body of knowledge on adaptive learning behavior in agent based simulations.