5 research outputs found
A Software Engineering Framework for Context-Aware Service-Based Processes in Pervasive Environments
Behavior Selection Using Utility-Based Reinforcement Learning in Irregular Warfare Simulation Models
The article of record as published may be found at http://dx.doi.org/10.4018/joris.2013070105The 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