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A Symbolic Layer for Autonomous Component-Based Software Agents

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, an autonomous agent needs 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 discusses the use of a symbolic layer to address this issue. After an overview of existing techniques and their limitations this paper proposes a new approach through a generalized hyper-graph model in which the interaction of different components is modeled through a triggering mechanism based on patterns. Finally, the paper shows how a flexible symbolic middleware can be built and a few examples are presented.
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Contributor : Razvan Dinu Connect in order to contact the contributor
Submitted on : Thursday, October 4, 2012 - 5:38:29 PM
Last modification on : Friday, August 5, 2022 - 3:03:20 PM


  • HAL Id : lirmm-00738668, version 1



Razvan Dinu, Tiberiu Stratulat, Jacques Ferber. A Symbolic Layer for Autonomous Component-Based Software Agents. CIMA'12: 3rd International Workshop on Combinations of Intelligent Methods and Applications, Montpellier, France. pp.N/A. ⟨lirmm-00738668⟩



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