Structural complexity 1
Quantitative results concerning the utility of explanation-based learning
Artificial Intelligence
The computational complexity of abduction
Artificial Intelligence - Special issue on knowledge representation
A spectrum of logical definitions of model-based diagnosis
Computational Intelligence
Approximate reasoning in a system combining prototypical knowledge with case-based reasoning
Fuzzy logic for the management of uncertainty
Machine Learning - Special issue on case-based reasoning
Case-based reasoning
Plan reuse versus plan generation: a theoretical and empirical analysis
Artificial Intelligence - Special volume on planning and scheduling
Analysis of notions of diagnosis
Artificial Intelligence
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Planning and Learning by Analogical Reasoning
Planning and Learning by Analogical Reasoning
Using Compiled Knowledge to Guide and Focus Abductive Diagnosis
IEEE Transactions on Knowledge and Data Engineering
Multistrategy Adaptive Path Planning
IEEE Expert: Intelligent Systems and Their Applications
Case-based reasoning integrations
AI Magazine
Using Case-Based Reasoning to Focus Model-Based Diagnostic Problem Solving
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
The Utility Problem Analysed: A Case-Based Reasoning Perspective
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
ADAPtER: An Integrated Diagnostic System Combining Case-Based and Abductive Reasoning
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Integration Rules and Cases for the Classification Task
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Integrating Rule Induction and Case-Based Reasoning to Enhance Problem Solving
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
A Utility-Based Approach to Learning in a Mixed Case-Base and Model-Based Reasoning Architecture
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Selecting Most Adaptable Diagnostic Solutions through Pivoting-Based Retrieval
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
A Model of Costs and Benefits of Meta-Level Computation
LOPSTR '94/META '94 Proceedings of the 4th International Workshops on Logic Programming Synthesis and Transformation - Meta-Programming in Logic
Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Integration of case-based reasoning and model-based reasoning for adaptive design problem-solving
Integration of case-based reasoning and model-based reasoning for adaptive design problem-solving
Fuzzy theory approach for temporal model-based diagnosis: An application to medical domains
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Computing context-dependent temporal diagnosis in complex domains
Expert Systems with Applications: An International Journal
Case-Based Troubleshooting in the Automotive Context: The SMMART Project
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
MULTI-AGENT GRAPHICAL DECISION MODELS IN MEDICINE
Applied Artificial Intelligence
Model-Based Diagnosis of Discrete Event Systems with an Incomplete System Model
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
A Test Theory of the Model-Based Diagnosis
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Diagnosing a System with Value-Based Reasoning
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Prediction model of molten steel temperature in LF
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
An overview of AI research in Italy
Artificial intelligence
A fuzzy temporal diagnosis algorithm and a hypothesis discrimination proposal
IWINAC'05 Proceedings of the First international conference on Mechanisms, Symbols, and Models Underlying Cognition: interplay between natural and artificial computation - Volume Part I
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Integrating different reasoning modes in the construction of an intelligent system is one of the most interesting and challenging aspects of modern AI. Exploiting the complementarity and the synergy of different approaches is one of the main motivations that led several researchers to investigate the possibilities of building multi-modal reasoning systems, where different reasoning modalities and different knowledge representation formalisms are integrated and combined. Case-Based Reasoning (CBR) is often considered a fundamental modality in several multi-modal reasoning systems; CBR integration has been shown very useful and practical in several domains and tasks. The right way of devising a CBR integration is however very complex and a principled way of combining different modalities is needed to gain the maximum effectiveness and efficiency for a particular task. In this paper we present results (both theoretical and experimental) concerning architectures integrating CBR and Model-Based Reasoning (MBR) in the context of diagnostic problem solving. We first show that both the MBR and CBR approaches to diagnosis may suffer from computational intractability, and therefore a careful combination of the two approaches may be useful to reduce the computational cost in the average case. The most important contribution of the paper is the analysis of the different facets that may influence the entire performance of a multi-modal reasoning system, namely computational complexity, system competence in problem solving and the quality of the sets of produced solutions. We show that an opportunistic and flexible architecture able to estimate the right cooperation among modalities can exhibit a satisfactory behavior with respect to every performance aspect. An analysis of different ways of integrating CBR is performed both at the experimental and at the analytical level. On the analytical side, a cost model and a competence model able to analyze a multi-modal architecture through the analysis of its individual components are introduced and discussed. On the experimental side, a very detailed set of experiments has been carried out, showing that a flexible and opportunistic integration can provide significant advantages in the use of a multi-modal architecture.