Welcome to the home page for CORA
The Robotics Institute, School of Computer Science
Carnegie Mellon University, Pittsburgh, PA 15213.
CORA is a framework for distributed problem solving by a group of diverse and interacting reactive agents. Problem characteristics are utilized to achieve problem solving by asynchronous and well coordinated local interactions. The coordination mechanisms guide the search space exploration by the society of interacting agents, facilitating rapid convergence to a solution. CORA has been applying to job shop scheduling constraint satisfaction/optimization problems with outstanding performances.
1. "Distributed Constraint Satisfaction through Constraint Partition and Coordinated Reaction". Liu, J. and Sycara, K. In Proceedings of the 12th International Workshop on Distributed Artificial Intelligence , Hidden Valley, PA., May 1993.
2. "Emergent Constraint Satisfaction through Multi-Agent Coordinated Interaction". Liu, J. and Sycara, K. In Proceedings of the Fifth European Workshop on Modeling Autonomous Agents in a Multi-Agent World , Neuchatel, Switzerland, August 1993.
3. "Distributed Scheduling through Cooperative Specialists". Liu, J. and Sycara, K. In Proceedings of the IJCAI-93 Workshop on Knowledge-Based Production Planning, Scheduling, and Control, Chambery, France, August 1993.
4. "Collective Problem Solving through Coordinated Reaction". Liu, J. and Sycara, K. In Proceedings of the IEEE International Conference on Evolutionary Computation, Orlando, Florida, June 1994.
5. "Distributed Problem Solving through Coordination in a Society of Agents". In Proceedings of the 13th International Workshop on Distributed Artificial Intelligence, Seattle, WA., July 1994.
6. "Exploiting Problem Structure for Distributed Constraint Optimization" In Proceedings of the First International Conference on Multi-Agent Systems, San Fransico, CA., June 1995.
7. "Multiagent Coordination in Tightly Coupled Task Scheduling" In ICMASfirstname.lastname@example.org (Last updated 22-Sep-95)