Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Actors: a model of concurrent computation in distributed systems
Actors: a model of concurrent computation in distributed systems
Artificial Intelligence
Intention is choice with commitment
Artificial Intelligence
Open information systems semantics for distributed artificial intelligence
Artificial Intelligence
Knowledge acquisition techniques and second-generation expert systems
Applied Artificial Intelligence
ARCHON: an architecture for multi-agent systems
ARCHON: an architecture for multi-agent systems
Automatic construction of second generation diagnostic expert systems
International Journal of Expert Systems
Focusing based on the structure of a model in model-based diagnosis
International Journal of Man-Machine Studies
Analysis of expert reasoning in hardware diagnosis
International Journal of Man-Machine Studies
An approach to monitoring and diagnosing engineering processes by a knowledge-based system
Applied Artificial Intelligence - Special issue in artificial intelligence manufacturing, part 2
Retrospective on “Diagnostic reasoning based on structure and behavior”
Artificial intelligence in perspective
Performance evaluation of a distributed architecture for information retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
High level programming for distributed computing
Communications of the ACM
Communicating sequential processes
Communications of the ACM
Distributed processes: a concurrent programming concept
Communications of the ACM
Diagnostic Problem Solving: Combining Heuristic, Approximate and Casual Reasoning
Diagnostic Problem Solving: Combining Heuristic, Approximate and Casual Reasoning
Abstraction and Modularity Mechanisms for Concurrent Computing
IEEE Parallel & Distributed Technology: Systems & Technology
Organizing and Understanding Beliefs in Advice-Giving Diagnostic Systems
IEEE Transactions on Knowledge and Data Engineering
Device Representation-The Significance of Functional Knowledge
IEEE Expert: Intelligent Systems and Their Applications
Device Understanding and Modeling for Diagnosis
IEEE Expert: Intelligent Systems and Their Applications
ENIGMA: A System That Learns Diagnostic Knowledge
IEEE Transactions on Knowledge and Data Engineering
Distributed Execution of Actor Programs
Proceedings of the Fourth International Workshop on Languages and Compilers for Parallel Computing
Comilation of a Highly Parallel Actor-Based Language
Proceedings of the 5th International Workshop on Languages and Compilers for Parallel Computing
Distributed Interpretation: A Model and Experiment
IEEE Transactions on Computers
Beings: knowledge as interacting experts
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
Parallelism in artificial intelligence problem solving: a case study of hearsay II
IEEE Transactions on Computers - Special issue on parallel processors and processing
Cell: A Distributed Computing Modularization Concept
IEEE Transactions on Software Engineering
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In the 1990s Agent-Based Systems (ABS) have acquired the same importance as Knowledge-Based Systems (KBS) during the 1980s. Agent technology appeal is due to the benefits that agent-based organization and coordination allow in designing cooperative problem-solving systems. In recent works on distributed artificial intelligence (DAI), researchers have tried to define more precisely the role of an intelligent agent, i.e., of the computational entity that shares the accomplishment of a specific global goal via collaborative schemes. Although important progress has been made in this field, the systematic design of DAI-oriented systems still remains a hard task. In this paper, we attempt to define a general diagnostic engine designed to allow cooperative problem solving within a web of knowledge-based agents. A framework of a cooperative diagnostic engine is proposed, where the diagnosis of physical systems is accomplished in a parallel and distributed universe of intelligent actors. To reach this goal, we formalize an organizational diagnostic knowledge structure which defines different deep models and tasks in order to better distinguish between structure and behavior. Such organization induces different cooperation schemes within the agents in order to improve the diagnostic ability in the distributed processing.