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
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 mod
el 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.
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