Abstract
Research in multimodel based diagnosis stresses the role of a centralized diagnostic agent in a computational framework made of different models. Each of these models provides knowledge according to a given representation of the system to diagnose: structural, behavioral, functional and teleological aspects are each embodied into a different model. According to this approach, various proposals have been formulated in terms of cooperation among different views without comprehensively addressing the issues of concurrency and collaboration, in particular the effect of asynchronous message passing in software design. We present here the use of a distributed and concurrent architecture in which different models collaborate in order to achieve a global diagnosis through a set of independent actors. The paper reports about two experiences: a distributed architecture representing a user model in an intelligent tutoring system (ITS) and a diagnostic engine for troubleshooting a physical system. In spite of the difference of the two applications, we may abstract from the two architectures important common patterns that constitute the core of the distributed management of the multiple knowledge sources.
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Cerri, S.A., Gisolfi, A., Loia, V. (1999). Towards the Abstraction and Generalization of Actor-Based Architectures in Diagnostic Reasoning. In: Padget, J.A. (eds) Collaboration between Human and Artificial Societies. Lecture Notes in Computer Science(), vol 1624. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10703260_7
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DOI: https://doi.org/10.1007/10703260_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66930-2
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