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Authors: Imade Benelallam 1 ; Zakarya Erraji 2 ; Ghizlane El Khattabi 2 ; Jaouad Ait Haddou 2 and El Houssine Bouyakhf 2

Affiliations: 1 University Mohammed V and INSEA, Morocco ; 2 University Mohammed V, Morocco

ISBN: 978-989-758-073-4

ISSN: 2184-433X

Keyword(s): Constraint Programming (CP), Multi-Agent Systems, Distributed Problem Solving, Agent Models and Architectures, Distributed Constraints Reasoning, Realistic use, Constraint Satisfaction Problem (CSP), Distributed CSP (DisCSP).

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; AI and Creativity ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Constraint Satisfaction ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Distributed Problem Solving ; Enterprise Information Systems ; Human-Computer Interaction ; Industrial Applications of AI ; Intelligent User Interfaces ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Programming Environments and Languages ; Soft Computing ; Software Engineering ; Symbolic Systems

Abstract: The development of innovative and intelligent multiagent applications based on Distributed Constraints Reasoning techniques is obviously a fastidious task, especially to tackle new combinatorial problems (e.i. distributed resource management, distributed air traffic management, Distributed Sensor Network (Bejar et al., ´ 2005)). However, there are very few open-source platforms dedicated to solve such problems within realistic uses. Given the difficulty that researchers are facing, simplifying assumptions and simulations uses are commonly used techniques. Nevertheless, these techniques may not be able to capture all the details about the problem to be solved. Hence, transition from the simulation to the actual development context causes a loss of accuracy and robustness of the applications to be implemented. In this paper, we present preliminary results of a new distributed constraints programming platform, namely JChoc DisSolver. Thanks to the extensibility of JADE communication mode l and the robustness of Choco Solver, JChoc brings a new added value to Distributed Constraints Reasoning. The platform is user-friendly and the development of multiagent applications based on Constraints Programming is no longer a mystery to users. A real distributed problem is used to illustrate how the platform can be appropriated by an unsophisticated user and the experimental results are encouraging for more investigations. (More)


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Paper citation in several formats:
Benelallam, I.; Erraji, Z.; El Khattabi, G.; Ait Haddou, J. and Bouyakhf, E. (2015). JChoc DisSolver - Bridging the Gap Between Simulation and Realistic Use. In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-073-4; ISSN 2184-433X, pages 66-74. DOI: 10.5220/0005208600660074

author={Imade Benelallam. and Zakarya Erraji. and Ghizlane {El Khattabi}. and Jaouad {Ait Haddou}. and El Houssine Bouyakhf.},
title={JChoc DisSolver - Bridging the Gap Between Simulation and Realistic Use},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},


JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - JChoc DisSolver - Bridging the Gap Between Simulation and Realistic Use
SN - 978-989-758-073-4
IS - 2184-433X
AU - Benelallam, I.
AU - Erraji, Z.
AU - El Khattabi, G.
AU - Ait Haddou, J.
AU - Bouyakhf, E.
PY - 2015
SP - 66
EP - 74
DO - 10.5220/0005208600660074

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