DocumentCode
3336011
Title
Controller Agents for Constraints Solving: Implementation and Use of CACS Prototype
Author
Al-maqtari, Sami ; Abdulrab, Habib
Author_Institution
LITIS, INSA of Rouen - France, Rouen
Volume
1
fYear
2008
fDate
3-5 Nov. 2008
Firstpage
205
Lastpage
211
Abstract
The distributed constraint satisfaction problem (DCSP) which is an emerged field from the integration between two paradigms of different nature: multi-agent systems (MAS) that is characterized by the autonomy and the distribution of its entities and the constraint satisfaction problem paradigm (CSP) where all constraints are treated in central manner as a black-box. In this paper we aim to propose a model called controller-agents for constraints solving or CACS for short to be used for solving DCSP. We aim in this paper to present a model called CACS for (controller-agent for constraints solving). A controller role is to encapsulate and verify some constraints assigned to it. This model allows grouping constraints to form a subset that will be treated together as a local problem inside the controller. Using this model allows also handling non-binary constraints easily and directly so that no translating of constraints into binary ones is needed. Based on CACS, a prototype of DCSP solver is built. This paper presents the implementation outlines of that prototype and its usage methodology. The prototype is built in Java using general interfaces of both MAS and CSP platforms. These interfaces allow users to use the platforms of their choice providing that they implement these interfaces with the chosen platforms.
Keywords
Java; constraint handling; multi-agent systems; constraints solving; controller agents; distributed constraint satisfaction problem; multi-agent systems; Artificial intelligence; Centralized control; Control systems; Ecosystems; Encoding; Java; Law; Legal factors; Multiagent systems; Prototypes; Constraints satisfaction; Distributed systems; Multi-Agent System;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on
Conference_Location
Dayton, OH
ISSN
1082-3409
Print_ISBN
978-0-7695-3440-4
Type
conf
DOI
10.1109/ICTAI.2008.118
Filename
4669690
Link To Document