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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 Some Ways of Thinking
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    Chapter 2 Against Fictionalism
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    Chapter 3 Fear-Driven Inference: Mechanisms of Gut Overreaction
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    Chapter 4 Living in the Model: The Cognitive Ecology of Time—A Comparative Study
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    Chapter 5 How Scientific Models Differ from Works of Fiction
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    Chapter 6 What’s in a Diagram?
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    Chapter 7 Models and Points of View: The Analysis of the Notion of Point of View
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    Chapter 8 The Arabic Script, from Visual Analogy to Model-Based Reasoning
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    Chapter 9 Mechanism and Phenomenon of Consciousness
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    Chapter 10 Information Integration in the Brain: Modeling a Putative Function of the Astroglial Network
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    Chapter 11 Understanding Abduction
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    Chapter 12 How to Learn Abduction from Animals? From Avicenna to Magnani
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    Chapter 13 Abduction and Model Based Reasoning in Plato’s Meno
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    Chapter 14 Generation of Hypotheses by Ampliation of Data
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    Chapter 15 Abduction, Competing Models and the Virtues of Hypotheses
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    Chapter 16 Galileo’s Discovery of the Moons Orbiting Jupiter Based on Abductive Inference Strategies
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    Chapter 17 Icon and Abduction: Situatedness in Peircean Cognitive Semiotics
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    Chapter 18 A Logical Model of Peirce’s Abduction as Suggested by Various Theories Concerning Unknown Entities
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    Chapter 19 Freedom and Moral Judgment A Cognitive Model of Permissibility
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    Chapter 20 Models of Moral Cognition
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    Chapter 21 Metaphor and Model-Based Reasoning in Maxwell’s Mathematical Physics
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    Chapter 22 Bohr’s Theory of the Hydrogen Atom: A Selective Realist Interpretation
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    Chapter 23 Identifying Adequate Models in Physico-Mathematics: Descartes’ Analysis of the Rainbow
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    Chapter 24 Pauli’s Idea of the Neutrino: How Models in Physics Allow to Revive Old Ideas for New Purposes
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    Chapter 25 A Historical Case Study of a “Nested Analogy”
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    Chapter 26 From Informal Thought Experiments to Agent-Based Models A Progressive Account of Modeling in the Social Sciences
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    Chapter 27 Generative and Demonstrative Experiments
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    Chapter 28 Complex Systems of Mindful Entities: On Intention Recognition and Commitment
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    Chapter 29 Autonomous Mobile Robots as Technical Artifacts: A Discussion of Experimental Issues
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    Chapter 30 Modelling Systems in Technology as Instrumental Systems
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    Chapter 31 Simulation Models of Complex Social Systems A Constructivist and Expressivist Interpretation of System Dynamics
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    Chapter 32 Architectural Design Thinking as a Form of Model-Based Reasoning
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    Chapter 33 Models and Ideology in Design
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    Chapter 34 How Affordance Changes: Based on the Coincidence Model of Technological Innovation
Overall attention for this book and its chapters
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Citations

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Title
Model-Based Reasoning in Science and Technology
Published by
Springer-Verlag Berlin Heidelberg, January 2014
DOI 10.1007/978-3-642-37428-9
ISBNs
978-3-64-237427-2, 978-3-64-237428-9, 978-3-66-251055-1
Editors

Lorenzo Magnani

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 2%
United Kingdom 1 2%
Denmark 1 2%
United States 1 2%
Turkey 1 2%
Argentina 1 2%
Unknown 59 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Student > Master 11 17%
Researcher 9 14%
Unspecified 8 12%
Student > Bachelor 4 6%
Other 15 23%
Readers by discipline Count As %
Computer Science 14 22%
Philosophy 9 14%
Unspecified 8 12%
Engineering 6 9%
Social Sciences 5 8%
Other 23 35%