Title :
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
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;
Conference_Titel :
System Theory, Control and Computing (ICSTCC), 2013 17th International Conference
Conference_Location :
Sinaia
Print_ISBN :
978-1-4799-2227-7
DOI :
10.1109/ICSTCC.2013.6689049
