Architectures for distributed air-traffic control
Distributed Artificial Intelligence
Strategies of cooperation in distributed problem solving
Distributed Artificial Intelligence
Coherent cooperation among communicating problem solvers
Distributed Artificial Intelligence
The contract net protocol: high-level communication and control in a distributed problem solver
Distributed Artificial Intelligence
Concurrent programming using actors: exploiting large-scale parallelism
Distributed Artificial Intelligence
An examination of distributed planning in the world of air traffic control
Distributed Artificial Intelligence
Trends in Cooperative Distributed Problem Solving
IEEE Transactions on Knowledge and Data Engineering
Cooperation Issues in Holonic Manufacturing Systems
DIISM '93 Proceedings of the JSPE/IFIP TC5/WG5.3 Workshop on the Design of Information Infrastructure Systems for Manufacturing
Formalizing an Engineering Approach to Cooperating Knowledge-Based Systems
IEEE Transactions on Knowledge and Data Engineering
Cooperating Agents for Holonic Manufacturing
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
An Engineering Approach to Cooperating Agents for Distributed Information Systems
Journal of Intelligent Information Systems
A computational model for a cooperating agent system
CIA'99 Proceedings of the 3rd international conference on Cooperative information agents III
ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
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This paper presents an architectural framework for cooperating knowledge based systems (CKBSs) with parallels drawn from the multiagent systems of DAI. A CKBS is distinguished from a multiagent system by its need to provide a workable approach for real-world distributed applications. The framework proposed considers only interagent activities in what is called transaction-oriented processing. The framework, based largely on well-tested computer science concepts, provides for a multilayered edifice with information transparency, and a multilevel schema to suit different user expertise. It permits dynamic definition of cooperation strategies for different tasks as required, in a high-level language providing relative ease of use. A particular novelty is the interpretation of actions as side-effects of update operations on action tuples transmitted among agents via what are called shadows. This provides the generality needed. Effectiveness, flexibility, and ease of use are some of the key considerations.