Paper Info
Title
Comparison of crisp systems and fuzzy systems in agent-based simulation: A case study of soccer penalties
Abstract
The Belief-Desire-Intention (BDI) software model is an example of a reasoning architecture for a bounded rational software agent. In our research we plan to expand the application of the BDI software model to the area of simulating human behaviour in social and socio-technical systems. To this effect, in this paper we explore the differences in using a classical crisp rule-based approach and a fuzzy rule-based approach for the reasoning within the BDI system. As a test case we have chosen a football penalty shootout. We have kept the case study example deliberately simple so that we can focus on the effects the different BDI implementations have on the decisions made. Our experiments highlight that the crisp system can result in unwanted “preferred” actions because of sudden leaps or drops between different ranges of decision variables, while the fuzzy system results have smoother transitions which results in more consistent decisions. The behaviour, as showcased in this simple context, underlines that a change from crisp to fuzzy rule based systems as the underlying reasoning model in BDI systems can provide the path to a superior approach for the simulation of human behaviour, which we will explore further in the future.
Year
DOI
Venue
2013
10.1109/UKCI.2013.6651287
UKCI
Keywords
Field
DocType
fuzzy system,fuzzy set theory,belief-desire-intention software model,agent based simulation,fuzzy rule-based approach,crisp systems,belief-desire-intention,football penalty shootout,inference mechanisms,bdi software model,soccer penalties,human behaviour simulation,bounded rational software agent,soccer penalty,fuzzy systems,reasoning architecture,social systems,socio-technical systems,agent-based simulation,crisp rule-based approach,software agents
Neuro-fuzzy,Defuzzification,Fuzzy classification,Computer science,Fuzzy set operations,Software agent,Fuzzy set,Artificial intelligence,Fuzzy control system,Machine learning,Fuzzy rule
Conference
ISBN
Citations 
PageRank 
978-1-4799-1566-8
0
0.34
References 
Authors
8
3
Name
Order
Citations
PageRank
Tuong Manh Vu101.35
Peer-Olaf Siebers218627.03
Christian Wagner35618.39