Titlebook: Logical and Computational Aspects of Model-Based Reasoning; Lorenzo Magnani,Nancy J. Nersessian,Claudio Pizzi Book 2002 Springer Science+B

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Adaptive Logics for Non-Explanatory and Explanatory Diagnostic Reasoningtly, we follow the same pattern for weak and strong diagnosis and describe the logic .* which adequately formalizes weak diagnostic reasoning, even when .. is taken into account. Finally it is argued that the same logic can be applied in the case of strong diagnostic reasoning whenever a number of conditions are fulfilled.

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Book 2002 his daily activity. This pressure requires the use of logic as the underlying foundational workhorse of the area. New logics were developed as the need arose and new foci and balance has evolved within logic itself. One aspect of these new trends in logic is the rising impor­ tance of model based r

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Model-Based Diagnosis of Dynamic Systems: Systematic Conflict Generationation of a . of minimal conflicts is put forward. The paper includes also presentation of elements of an algebra of conflict sets. A prototype computer program for automatic generation of causal graphs from standard models of dynamic systems (Matlab-Simulink M-files) and conflict generation is also presented in brief.

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A Case Study of the Design and Implementation of Heterogeneous Reasoning Systems from a number of different representation systems, in our case a sentential and a diagrammatic system. The advantage of heterogeneous systems is that they allow a reasoner to bridge the gaps among various formalisms and construct threads of proof which cross the boundaries of the systems of represe

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Ampliative Adaptive Logics and the Foundation of Logic-Based Approaches to Abductionf this reconstruction is that the resulting logics have a .. As abductive reasoning is non-monotonic, the latter is necessarily dynamic (conclusions derived at some stage may at a later stage be rejected). The proof theory warrants, however, that the conclusions derived at a given stage are justifie