Modelling of Agents' Behavior with Semi-Collaborative Meta-Agents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A00109716" target="_blank" >RIV/68407700:21230/05:00109716 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Modelling of Agents' Behavior with Semi-Collaborative Meta-Agents
Original language description
An autonomous agent may largely benefit from its ability to reconstruct another agent's reasoning principles from records of past events and general knowledge about the world. In our approach, the meta-agent maintains a first-order logic theory, called the community model, yielding predictions about other agents' decisions. In this contribution we introduce a query-based collective reasoning process where the semi-collaborative meta-agents use active learning technique to improve their models. We provide empirical results that demonstrate the viability of the concept and show the benefits of collective meta-reasoning.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Multi-Agent Systems and Applications IV
ISBN
3-540-29046-X
ISSN
0302-9743
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Budapest
Event date
Sep 12, 2005
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000233298100063