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Author
Tyburcy Janusz (Akademia Ekonomiczna we Wrocławiu), Surma Jerzy (Politechnika Wrocławska)
Title
Hybrydowy model agenta w systemach wieloagentowych
Source
Prace Naukowe Akademii Ekonomicznej we Wrocławiu, 1999, nr 815, s. 86-95, rys., bibliogr. 30 poz.
Issue title
Pozyskiwanie wiedzy z baz danych
Keyword
Sztuczna inteligencja, Materiały konferencyjne, Symulacja wieloagentowa
Artificial intelligence, Conference materials, Multi-agent based simulation
Abstract
W niniejszym artykule pragniemy zaprezentować projekt modelu systemu wieloagentowego składającego się z niejednorodnych agentów, których podsystem odpowiadający za zachowanie agenta jest połączeniem sytemu regułowego z mechanizmem wnioskowania do przodu oraz systemu opartego na metodzie wnioskowania na podstawie przypadków (case-based reasoning). Takie zestawienie wydaje nam się szczególnie interesujące w sytuacji, kiedy z jednej strony posiadamy szeroką wiedzę o środowisku, w którym działa agent, oraz częściową wiedzę dziedzinową potrzebną agentowi do rozwiązania postawionych przed nim zadań, z drugiej zaś strony zależy nam na pozyskaniu nowej, jeszcze nie znanej wiedzy o zachowaniu i postępowaniu innych agentów. (fragment tekstu)
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Bibliography
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ISSN
0324-8445
Language
pol
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