Multi-Agent modeling for match-making using BDI architecture

Abstract

Multi-Agent based modeling and simulation (MAS) has proven to be a useful approach for the study of complex social phenomena. Due to the diversity and huge number of factors, many population dynamics problems are difficult to be addressed properly with traditional analytical and statistical techniques. This research work focus on match making process of population dynamics. We designed a model in which agents interacting with other agents and environment to find a life partner. We are considering that agent's age and socio-economics (referred to as education and income level) conditions are the key factors while taking decision for family formation. Using belief, desires and intensions (BDI) architecture, we explicitly take into account the agent's heterogeneity with respect to age and income level. Using multi-agent model, this study explores how changes in agent's desires and intensions might be transmitted through a population to effect the overall perception. Our model give more substantial evidence about how and why these attributes can influence the evolution of family formation.