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2009 Ninth International Conference on Intelligent Systems Design and Applications
Hybrid and Evolutionary Agent-Based Social Simulations Using the PAX Framework
Pisa, Italy
November 30-December 02
ISBN: 978-0-7695-3872-3
This paper investigates a new hybrid evolutionary agent model for agent-based social simulations (ABSS), which incorporates two decision components: (i) sub-symbolic (genetic) and (ii) symbolic (cultural). These components are coherently combined to produce a more plausible agent model. Experiments were carried out using the Plausible Agents Matrix (PAX) framework, and modeled a real dengue fever spreading scenario. They aim to analyze the qualitative and quantitative predictive power of the model. Previous work has explored the impact of structuring elements on agents’ behaviors and the impacts of communication mechanisms on agents’ behaviors using PAX. In this paper we investigated three types of agent models regarding to the combination of decision components: (1) agents only with genetic component; (2) agents only with cultural component; and (3) agents with both genetic and cultural components. Results show the importance of each component in the model and their synergic effects when combined.
Index Terms:
Hybrid intelligent systems, Agent-based social simulations (ABSS), Evolutionary algorithms, Cultural algorithms, Application
Citation:
Fernando B. de Lima Neto, Marcelo Pita, Hugo Serrano B. Filho, "Hybrid and Evolutionary Agent-Based Social Simulations Using the PAX Framework," isda, pp.497-504, 2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009
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