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Publication year
2006Publisher
Los Alamitos, CA : Institute of Electrical and Electronics Engineers (IEEE)
ISBN
0769525598
In
Proceedings of the 39th Annual Simulation Symposium (ANSS'06), pp. 312-319Annotation
39th Annual Simulation Symposium (ANSS'06)
Publication type
Article in monograph or in proceedings

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Organization
SW OZ DCC KI
Former Organization
SW OZ NICI KI
Languages used
English (eng)
Book title
Proceedings of the 39th Annual Simulation Symposium (ANSS'06)
Page start
p. 312
Page end
p. 319
Subject
Cognitive artificial intelligenceAbstract
To simulate adaptive agents with abilities matching those of their real-world counterparts, a natural approach is to incorporate adaptation mechanisms such as classical conditioning into agent-based simulation. Existing models for adaptation mechanisms are usually based on quantitative methods such as DST. In contrast, agent-based simulation is usually based on qualitative, logical languages. To bridge this gap, this paper puts forward an integrative approach to simulate and analyse the conditioning process of an adaptive agent, which integrates quantitative and qualitative aspects within one temporal specification language. The approach comprises (1) simulation of adaptation mechanisms in an executable language, (2) automated analysis of dynamic properties against simulation traces, and (3) verification of representation relations for internal agent states against simulation traces. Furthermore, the approach addresses the issue of realism of intermediate states in a simulated conditioning process.
This item appears in the following Collection(s)
- Academic publications [202802]
- Electronic publications [100870]
- Faculty of Social Sciences [27107]
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