Application of Inductive Logic Programming to Produce Emergent Behavior in an Artificial Society

Artificial society is a discipline to study mechanisms of social system and phenomena which the mechanisms make. Emergence is global phenomena occurred by local mechanisms, such as, by collective behavior of autonomous agents. Understanding of emergence phenomena is a challenging subject. In this pa...

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Veröffentlicht in:IIAI-AAI 2014 : proceedings : 2014 IIAI 3rd International Conference on Advanced Applied Informatics : Kitakyushu, Japan, 31 August - 4 September 2014 S. 942 - 947
Hauptverfasser: Komura, Keigo, Mutoh, Atsuko, Inuzuka, Nobuhiro
Format: Tagungsbericht Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.08.2014
Schlagworte:
Algorithms
artificial society
Classification
Computational modeling
Computers
Conferences
Educational institutions
Electronic mail
Emergence
emergent behavior
inductive logic programming
Learning
Logic programming
Machine learning
Representations
Search problems
Sugar
ISBN:1479941743, 9781479941742
Online-Zugang:Volltext
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Zusammenfassung:Artificial society is a discipline to study mechanisms of social system and phenomena which the mechanisms make. Emergence is global phenomena occurred by local mechanisms, such as, by collective behavior of autonomous agents. Understanding of emergence phenomena is a challenging subject. In this paper we use the framework of inductive logic programming (ILP) for artificial society and emergence behavior study. ILP is a branch of machine learning based on logic programming and inductive inference. We investigate the possibility of ILP in artificial society study. ILP and logic programming technique are applied to representation of an artificial society model, called Sugarscape, and to rule learning for agent behavior. Although classical ILP algorithms target classification problems, the proposed algorithm grows behavior rule for an evaluation measurement. Phenomena which this paper treate is limited but we showed that ILP technique can be applied to study in the field of artificial society.
Bibliographie:ObjectType-Article-2
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ObjectType-Conference-1
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SourceType-Conference Papers & Proceedings-2
ISBN:1479941743
9781479941742
DOI:10.1109/IIAI-AAI.2014.185