Intelligent Agents: Integrating Multiple Components Through a Symbolic Structure

Razvan Dinu 1 Tiberiu Stratulat 1 Jacques Ferber 1
1 SMILE - Système Multi-agent, Interaction, Langage, Evolution
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In order to handle complex situations, autonomous software agents need multiple components ranging from simple input/output modules to sophisticated AI techniques. Integrating a high number of heterogeneous components is a non-trivial task and this paper proposes the use of a symbolic middleware to handle inter-component interactions. A generalized hyper-graph model is defined, a simple and straightforward representation language is proposed and a pattern matching mechanism is introduced together with a basic performance evaluation. Finally, the paper shows how a flexible symbolic middleware can be built and a few examples are presented.
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Chapitre d'ouvrage
Ioannis, Hatzilygeroudis and Vasile, Palade. Combinations of Intelligent Methods and Applications, 23, Springer, pp.001-019, 2013, 978-3-642-36650-5. 〈10.1007/978-3-642-36651-2_1〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00815472
Contributeur : Tiberiu Stratulat <>
Soumis le : jeudi 18 avril 2013 - 17:05:45
Dernière modification le : jeudi 24 mai 2018 - 15:59:23

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Razvan Dinu, Tiberiu Stratulat, Jacques Ferber. Intelligent Agents: Integrating Multiple Components Through a Symbolic Structure. Ioannis, Hatzilygeroudis and Vasile, Palade. Combinations of Intelligent Methods and Applications, 23, Springer, pp.001-019, 2013, 978-3-642-36650-5. 〈10.1007/978-3-642-36651-2_1〉. 〈lirmm-00815472〉

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