Rule-based approach to human-like decision simulating in agent-based modeling and simulation

Author

Baster, Barbara ; Duda, Jarek ; Maciol, Andrzej ; Rebiasz, Bogdan

Author_Institution

FINAXYS, Paris, France

fYear

2013

fDate

11-13 Oct. 2013

Firstpage

739

Lastpage

743

Abstract

In the paper we present results of our research related to the application of the method of declarative description of knowledge possessed by people making decisions, characteristic for rule-based systems in ABMS. The purpose of this study is to examine whether, based on knowledge built on declarations of people, it is possible to create an adequate rule-based model of agents. It has been established that only about 60% of respondents take decisions in accordance with the previously declared preferences. Nevertheless, in our opinion, the rule-based approach to the agent behavior modeling can provide good results by introducing a random factor in decision-making rules.

Keywords

decision making; knowledge acquisition; knowledge based systems; multi-agent systems; ABMS; agent behavior modeling; decision-making rules; declarative description; human-like decision simulation; knowledge acquisition; rule-based model; rule-based systems; Computational modeling; Decision making; Economics; Knowledge acquisition; Portable computers; Predictive models; Psychology; agent-based modeling and simulation; human-like decision; knowledge acquisition; rule-based systems;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, Control and Computing (ICSTCC), 2013 17th International Conference

Conference_Location

Sinaia

Print_ISBN

978-1-4799-2227-7

Type

conf

DOI

10.1109/ICSTCC.2013.6689049

Filename

6689049