MSSIN: Agent based social simulation model with an intelligent approach

Author

Angel, Ronald ; Gonzalez, E. ; Gonzalez, Adriana

Author_Institution

Dept. de Ing. de Sist., Pontificia Univ. Javeriana, Bogota, Colombia

fYear

2013

Firstpage

1

Lastpage

6

Abstract

The lack of social simulation models that meet all requirements suggested to support decision making in public or private community service is a problem. This phenomenon is managed by building MSSIN, an agent-based model. This solution, first proposed a generic model for BDI agents, using methods such as fuzzy logic and Q-learning in their decision-making mechanism, based on the main concepts of the sociological theory of Bratman. Then, build a model of social interactions and apply general and specific contexts concepts present in the studied societies.

Keywords

fuzzy logic; learning (artificial intelligence); multi-agent systems; social sciences computing; BDI agents; MSSIN; Q-learning method; agent-based social simulation model; decision making mechanism; fuzzy logic method; generic model; intelligent approach; private community service; public community service; social interaction model; sociological theory; Analytical models; Buildings; Communities; Decision making; Fabrics; Organizations; Unified modeling language; BDI; Intelligent Agents; Intelligent Systems; PROSOFI; goals; simulation; society; sociology;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing Colombian Conference (8CCC), 2013 8th

Conference_Location

Armenia

Print_ISBN

978-1-4799-1054-0

Type

conf

DOI

10.1109/ColombianCC.2013.6637529

Filename

6637529