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Abstract: To build intelligent control systems for real-life applications, we need to design software agents which combine cognitive abilities to reason about complex situations, and reactive abilities to meet hard deadlines. We propose an operational agent model which mixes AI techniques and real-time performances. Our model is based on an ATN (Augmented Transition Network) to dynamically adapt the agent's behavior to changes in the environment. Each agent uses a production system and is provided with a ... (Update)
Context of citations to this paper: More
.... (procedures, alias methods in the Smalltalk terminology) and the second are embodied in a production system (Pachet, 1995) (Guessoum and Dojat, 1996). This production system may be decomposed in: 1) a rule base which includes objects describing the agent s environment...
...based methods level, scheduling is performed after each rule firing. This solution is acceptable in many industrial applications [7]. 3.2.3 Meta Behavior Representation The proposed meta behavior relies on two fundamental notions: states and transitions which naturally...
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BibTeX entry: (Update)
Guessoum, Z. and Dojat, M. (1996). A real-time agent model in an asynchronous object environment. In MAAMAW'96, pages 190--203, NL. Springer Verlag. http://citeseer.ist.psu.edu/article/guessoum96realtime.html More
@inproceedings{ guessoum96realtime,
author = "Zahia Guessoum and M. Dojat",
title = "A Real-Time Agent Model in an Asynchronous-Object Environment",
booktitle = "Seventh European Workshop on Modelling Autonomous Agents in a Multi-Agent World",
address = "Eindhoven, The Netherlands",
editor = "Rudy van Hoe",
year = "1996",
url = "citeseer.ist.psu.edu/article/guessoum96realtime.html" }
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