MULTI-AGENT PARADIGM FOR COGNITIVE PARAMETER BASED FEATURE SIMILARITY FOR SOCIAL INFLUENCE

Swati Basak, Bireshwar Dass Mazumdar, Chandra Bhan Patheriya

Abstract: The ABM methodology is a favorable approach to model and analyze complex social phenomena that may involve non-linear feedback loops. It has been applied successfully to model a number of social phenomena involving different social processes and organizational structures. Availability of cheap computing power and rich software resources has made ABM a widely used and hence more popular methodology. A modeler using ABM however have be careful about choosing the right amount of detail (less and more both can be problematic) and validating (internal and external) the model. Interpreting and analyzing results is also an involved task. In this paper, we have demonstrated how ABM can be applied to model and analyze the voting preference formation and resultant voting decisions of individuals in a population. The model assumes a two party system. We designed three versions of the simulation and observed the results for a large number of runs with different parameter variations. The results obtained present interesting picture and resultant inferences.

Keywords: COGNITIVE PARAMETER BASED FEATURE SIMILARITY FOR SOCIAL

DOI: https://doi.org/10.15623/ijret.2013.0204050