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Logical and Computational Aspects of Model-Based Reasoning

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Cover of 'Logical and Computational Aspects of Model-Based Reasoning'

Table of Contents

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    Book Overview
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    Chapter 1 A Case Study of the Design and Implementation of Heterogeneous Reasoning Systems
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    Chapter 2 A Logical Approach to the Analysis of Metaphors
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    Chapter 3 Ampliative Adaptive Logics and the Foundation of Logic-Based Approaches to Abduction
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    Chapter 4 Diagrammatic Inference and Graphical Proof
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    Chapter 5 A Logical Analysis of Graphical Consistency Proofs
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    Chapter 6 Adaptive Logics for Non-Explanatory and Explanatory Diagnostic Reasoning
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    Chapter 7 Model-Guided Proof Planning
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    Chapter 8 Degrees of Abductive Boldness
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    Chapter 9 Scientific Explanation and Modified Semantic Tableaux
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    Chapter 10 Computational Discovery of Communicable Scientific Knowledge
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    Chapter 11 Encoding and Using Domain Knowledge on Population Dynamics for Equation Discovery
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    Chapter 12 Reasoning about Models of Nonlinear Systems
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    Chapter 13 Model-Based Diagnosis of Dynamic Systems: Systematic Conflict Generation
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    Chapter 14 Modeling Through Human-Computer Interactions and Mathematical Discourse
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    Chapter 15 Combining Strategy and Sub-Models for the Objectified Communication of Research Programs
Attention for Chapter 11: Encoding and Using Domain Knowledge on Population Dynamics for Equation Discovery
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Chapter title
Encoding and Using Domain Knowledge on Population Dynamics for Equation Discovery
Chapter number 11
Book title
Logical and Computational Aspects of Model-Based Reasoning
Published by
Springer, Dordrecht, January 2002
DOI 10.1007/978-94-010-0550-0_11
Book ISBNs
978-1-4020-0791-0, 978-9-40-100550-0
Authors

Sašo Džeroski, Ljupčo Todorovski

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