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Model-Based Reasoning in Science and Technology

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Cover of 'Model-Based Reasoning in Science and Technology'

Table of Contents

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    Book Overview
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    Chapter 1 Probing Possibilities: Toy Models, Minimal Models, and Exploratory Models
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    Chapter 2 Model Types and Explanatory Styles in Cognitive Theories
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    Chapter 3 The Logic of Dangerous Models
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    Chapter 4 A Pragmatic Model of Justification Based on “Material Inference” for Social Epistemology
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    Chapter 5 Counterfactual Thinking in Cooperation Dynamics
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    Chapter 6 Modeling Morality
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    Chapter 7 Coherence and Credibility in the Story-Model of Jurors’ Decision-Making: Does Mental Simulation Really Drive the Evaluation of the Evidence?
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    Chapter 8 Insight Problem Solving and Unconscious Analytic Thought. New Lines of Research
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    Chapter 9 On Understanding and Modeling in Evo-Devo
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    Chapter 10 Conjuring Cognitive Structures: Towards a Unified Model of Cognition
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    Chapter 11 How Philosophical Reasoning and Neuroscientific Modeling Come Together
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    Chapter 12 The Dialogic Nature of Semiotic Tools in Facilitating Conscious Thought: Peirce’s and Vygotskii’s Models
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    Chapter 13 Creative Model-Based Diagrammatic Cognition
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    Chapter 14 Kant on the Generality of Model-Based Reasoning in Geometry
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    Chapter 15 The Logic of Picturing: Wittgenstein, Sellars and Peirce’s EG-beta
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    Chapter 16 An Inferential View on Human Intuition and Expertise
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    Chapter 17 Disseminated Causation: A Model-Theoretical Approach to Sophisticated Abduction
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    Chapter 18 Defining a General Structure of Four Inferential Processes by Means of Four Pairs of Choices Concerning Two Basic Dichotomies
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    Chapter 19 Remarks on the Possibility of Ethical Reasoning in an Artificial Intelligence System by Means of Abductive Models
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    Chapter 20 On the Follies of Intercourse Between Models and Fiction: A Naturalized Causal-Response Diagnosis
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    Chapter 21 Default Soundness in the Old Approach: An Epistemic Analysis of Default Reasoning
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    Chapter 22 Models and Data in Finance: les Liaisons Dangereuses
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    Chapter 23 How Can You Be Sure? Epistemic Feelings as a Monitoring System for Cognitive Contents
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    Chapter 24 A Model for the Interlock Between Propositional and Motor Formats
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    Chapter 25 A Computational-Hermeneutic Approach for Conceptual Explicitation
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    Chapter 26 The Context-Priming of Conceptual Knowledge: RPEC and SPEC Models
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    Chapter 27 Graphs in Linguistics: Diagrammatic Features and Data Models
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Title
Model-Based Reasoning in Science and Technology
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-32722-4
ISBNs
978-3-03-032721-7, 978-3-03-032722-4
Editors

Ángel Nepomuceno-Fernández, Lorenzo Magnani, Francisco J. Salguero-Lamillar, Cristina Barés-Gómez, Matthieu Fontaine

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X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Researcher 1 25%
Lecturer > Senior Lecturer 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Economics, Econometrics and Finance 1 25%
Social Sciences 1 25%
Unknown 1 25%