Paper Info
Title
Hybrid and Evolutionary Agent-Based Social Simulations Using the PAX Framework
Abstract
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.
Year
DOI
Venue
2009
10.1109/ISDA.2009.137
ISDA
Keywords
Field
DocType
multi-agent systems,social sciences computing,cultural component,decision component,dengue fever spreading scenario,evolutionary agent-based social simulations,genetic component,hybrid evolutionary agent model,plausible agents matrix framework,Agent-based social simulations (ABSS),Application,Cultural algorithms,Evolutionary algorithms,Hybrid intelligent systems
Evolutionary algorithm,Predictive power,Computer science,Multi-agent system,Artificial intelligence,Structuring,Machine learning
Conference
ISSN
Citations 
PageRank 
2164-7143
1
0.43
References 
Authors
3
3
Name
Order
Citations
PageRank
Fernando B. de Lima Neto141.23
Marcelo Pita2171.82
Hugo Serrano B. Filho310.43