AI*IA 2007: Artificial Intelligence and Human-Oriented by Manuela Veloso (auth.), Roberto Basili, Maria Teresa

By Manuela Veloso (auth.), Roberto Basili, Maria Teresa Pazienza (eds.)

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Extra info for AI*IA 2007: Artificial Intelligence and Human-Oriented Computing: 10th Congress of the Italian Association for Artificial Intelligence, Rome, Italy, September 10-13, 2007. Proceedings

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Only the former are however shared by the Supervisor with the other Local Diagnosers, thus maintaining some privacy. According to the framework in [1], the output set of extensions is built so that it meets two requirements. 1. The set of extensions is sound and complete with respect to the input. This means that the portion of model represented by the assignments in the set is equivalent to the portion of the model represented by the input assignment plus possibly the local observations. 2. Each extension in the set is admissible with respect to the local model.

Using semantic dependencies for consistency management of an ontology of brain—cortex anatomy. com/journals/aiim 13. : Accurate methods for the statistics of surprise and coincidence. In: Armstrong, S. ), pp. 61–74 (1994) 14. : Language and Science the Rational, Functional Language of Science and Technology. Philosophy of Science 9(2), 146–161 (1942) Artificial Ontologies and Real Thoughts: Populating the Semantic Web? 23 15. : Terminology and the Construction of Ontology. Terminology 11(1), 55–81 (2005) 16.

Diagnosis is defined as the task of finding which activity (or set of) may have caused the observed malfunctioning; formally the notion of consistencybased diagnosis [5] is adopted. – Diagnosis is carried out through a decentralized framework. Diagnostic reasoning with respect to each WS model is performed by Local Diagnosers (one for each WS), while a Supervisor propagates solutions from one Local Diagnoser to the other, thanks to run-time information about the WSs interfaces and their connections.

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