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A prolog-like inference system for computing minimum-cost abductive explanations in natural-language interpretation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Theorem Proving via General Matings
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Rationale and methods for abductive reasoning in natural-language interpretation
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A Flexible Framework for Multimedia Information Retrieval
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Abductive Inference in Bayesian Networks: A Review
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Automated Abduction in Scientific Discovery
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A Study on Natural Computing: A Review
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Upside-down meta-interpretation of the model elimination theorem-proving procedure for deduction and abduction
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Weighted abduction for plan ascription
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Abductive Theorem Proving for Analyzing Student Explanations to Guide Feedback in Intelligent Tutoring Systems
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Generating contrastive explanations for inductive logic programming based on a near miss approach
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Artificial explanations: the epistemological interpretation of explanation in AI
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Interpretation as abduction
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Theory refinement combining analytical and empirical methods
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Cost-based abduction and MAP explanation
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A linear constraint satisfaction approach to cost-based abduction
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A Prolog technology theorem prover: a new exposition and implementation in Prolog
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The role of relevance in explanation I: Irrelevance as statistical independence
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The role of relevance in explanation II: Disjunctive assignments and approximate independence
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Plan Recognition Using Statistical–Relational Models
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Relevant Explanations: Allowing Disjunctive Assignments
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On the Generation of Alternative Explanations with Implications for Belief Revision
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Plan, Activity, and Intent Recognition: Theory and Practice
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A logical formalisation of a hypothesis in weighted abduction: Towards user-feedback dialogues
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Root cause analysis in IT infrastructures using ontologies and abduction in Markov Logic Networks
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Narratology and Creativity
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Chapter 1 Knowledge Representation and Classical Logic
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An integrated system for interactive continuous learning of categorical knowledge
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Preface and Acknowledgements
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List of Symbols and Abbreviations
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Copyright Page
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Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators
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ABDUCTION and EXPLANATION‐BASED LEARNING: CASE STUDIES IN DIVERSE DOMAINS
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Robust processing of real-world natural-language texts
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Using Abduction in Markov Logic Networks for Root Cause Analysis
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ILP-based Inference for Cost-based Abduction on First-order Predicate Logic
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