Enhancement schemes for constraint processing: backjumping, learning, and cutset decomposition
Artificial Intelligence
A unified approach to dynamic coordination: planning actions and interactions in a distributed problem solving network
Industrial applications of distributed AI
Communications of the ACM
Wasp nests for self-configurable factories
Proceedings of the fifth international conference on Autonomous agents
Distributed Manufacturing Scheduling Using Intelligent Agents
IEEE Intelligent Systems
Continuous Truck Delivery Scheduling and Execution System with Multiple Agents
Proceedings of the 5th Pacific Rim International Workshop on Multi Agents: Intelligent Agents and Multi-Agent Systems
Approaches to Increase the Performance of Agent-Based Production Systems
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Scheduling, Re-scheduling and Communication in the Multi-agent Extended Enterprise Environment
EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving
Wasp-like Agents for Distributed Factory Coordination
Autonomous Agents and Multi-Agent Systems
The Soft Real-Time Agent Control Architecture
Autonomous Agents and Multi-Agent Systems
Development of an agent-based Virtual CIM architecture for small to medium manufacturers
Robotics and Computer-Integrated Manufacturing
Dynamic manufacturing scheduling using both functional and resource related agents
Integrated Computer-Aided Engineering
The AARIA agent architecture: From manufacturing requirements to agent-based system design
Integrated Computer-Aided Engineering
Reliability properties of models for flexible design and run-time analysis
Proceedings of the 13th Monterey conference on Composition of embedded systems: scientific and industrial issues
Autonomous dynamic reconfiguration in multi-agent systems: improving the quality and efficiency of collaborative problem solving
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
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A distributed factory scheduling model that is based on the concept of constraint-directed search within a centralized framework is presented. A set of texture measures that quantify several characteristics of the problem space being searched has been developed into heuristics that direct the searches conducted by scheduling agents. The heuristics have been used to direct the searches of a centralized activity-based scheduler, achieving good schedule quality and minimizing the likelihood of backtracking. The model discussed uses textures to direct distributed scheduling, optimizing decisions in the global search space by allowing agents to focus and direct searches in their individual search spaces. Experimental results are presented and confirm the effectiveness of the approach.