Model-Based Reasoning

Table of Contents

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   Book Overview
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   Chapter 1 Metaphor-Based Values in Scientific Models
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   Chapter 2 Analogy in Scientific Discovery: The Case of Johannes Kepler
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   Chapter 3 Model Experiments and Models in Experiments
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   Chapter 4 Models, Simulations, and Experiments
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   Chapter 5 Calibration of Models in Experiments
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   Chapter 6 The Development of Scientific Taxonomies
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   Chapter 7 Production, Science and Epistemology. An Overview on New Models and Scenarios
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   Chapter 8 Modeling Practices and “Tradition”
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    Chapter 9 Modeling Data: Analogies in Neural Networks, Simulated Annealing and Genetic Algorithms
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    Chapter 10 Perceptual Simulation in Analogical Problem Solving
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    Chapter 11 Building Demand Models to Improve Environmental Policy Process
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    Chapter 12 Toward a Computational Model of Hypothesis Formation and Model Building in Science
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    Chapter 13 Models as Parts of Distributed Cognitive Systems
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    Chapter 14 Conceptual Models, Inquiry and the Problem of Deriving Normative Claims from a Naturalistic Base
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    Chapter 15 Dynamic Imagery: A Computational Model of Motion and Visual Analogy
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    Chapter 16 Model-Based Reasoning and Similarity in the World
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    Chapter 17 Epistemic Artifacts: Michael Faraday’s Search for the Optical Effects of Gold
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    Chapter 18 Epistemic Mediators and Model-Based Discovery in Science
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    Chapter 19 Deterministic Models and the “Unimportance of the Inevitable”
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    Chapter 20 Mental Models in Conceptual Development
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    Chapter 21 Modeling Core Knowledge and Practices in a Computational Approach to Innovation Process