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Artificial Intelligence
Labeled point pattern matching by Delaunay triangulation and maximal cliques
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Comments on Mohr and Henderson's path consistency algorithm
Artificial Intelligence
An optimal k-consistency algorithm
Artificial Intelligence
The priority-based coloring approach to register allocation
ACM Transactions on Programming Languages and Systems (TOPLAS)
Efficient local search for very large-scale satisfiability problems
ACM SIGART Bulletin
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Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems
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Adaptive Image Segmentation With Distributed Behavior-Based Agents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ant algorithms for discrete optimization
Artificial Life
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Autonomous agents and multi-agent systems: explorations in learning, self-organization and adaptive computation
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Algorithms for Distributed Constraint Satisfaction: A Review
Autonomous Agents and Multi-Agent Systems
Efficient Local Search with Conflict Minimization: A Case Study of the n-Queens Problem
IEEE Transactions on Knowledge and Data Engineering
The Distributed Constraint Satisfaction Problem: Formalization and Algorithms
IEEE Transactions on Knowledge and Data Engineering
Heuristic Methods for Over-Constrained Constraint Satisfaction Problems
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Multiagent SAT (MASSAT): Autonomous Pattern Search in Constrained Domains
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Multiagent diffusion and distributed optimization
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
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Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
How autonomy oriented computing (AOC) tackles a computationally hard optimization problem
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IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
On-demand e-supply chain integration: A multi-agent constraint-based approach
Expert Systems with Applications: An International Journal
Multi-agent ERA Model Based on Belief Interaction Solves Wireless Sensor Networks Routing Problem
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
A Novel Hybrid Evolution Algorithm Based on Agent Behavior and Paradigm Learning
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
A Distributed Immunization Strategy Based on Autonomy-Oriented Computing
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
An Autonomy-Oriented Paradigm for Self-Organized Computing
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
A multi-agent coordination model for the variation of underlying network topology
Expert Systems with Applications: An International Journal
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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NBiS'07 Proceedings of the 1st international conference on Network-based information systems
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An improved concurrent search algorithm for distributed CSPs
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Fundamenta Informaticae - Methodologies for Intelligent Systems
A multi - agent based architecture to qualitative temporal constraint reasoning
ECC'10 Proceedings of the 4th conference on European computing conference
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AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
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Expert Systems with Applications: An International Journal
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ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
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PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
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CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
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EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
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BPM'06 Proceedings of the 4th international conference on Business Process Management
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ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Evolutionary agents for n-queen problems
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
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ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
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AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
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AOIS'04 Proceedings of the 6th international conference on Agent-Oriented Information Systems II
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CSCLP'04 Proceedings of the 2004 joint ERCIM/CoLOGNET international conference on Recent Advances in Constraints
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Cognitive Systems Research
Journal of Intelligent Manufacturing
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Expert Systems with Applications: An International Journal
A multiagent quantum evolutionary algorithm for global numerical optimization
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
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Artificial Intelligence Review
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Web Intelligence and Agent Systems
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This paper presents a multi-agent oriented method for solving CSPs (Constraint Satisfaction Problems). In this method, distributed agents represent variables and a two-dimensional grid-like environment in which the agents inhabit corresponds to the domains of the variables. Thus, the positions of the agents in such an environment constitute the solution to a CSP. In order to reach a solution state, the agents will rely on predefined local reactive behaviors; namely, better-move, least-move, and random-move. While presenting the formalisms and algorithm, we will analyze the correctness and complexity of the algorithm, and demonstrate the proposed method with two benchmark CSPs, i.e., n-queen problems and coloring problems. In order to further determine the effectiveness of different reactive behaviors, we will examine the performance of this method in deriving solutions based on behavior prioritization and different selection probabilities.