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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 Virtuous Distortion
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    Chapter 2 Naturalizing Peirce’s Semiotics: Ecological Psychology’s Solution to the Problem of Creative Abduction
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    Chapter 3 Smart Abducers as Violent Abducers
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    Chapter 4 Different Cognitive Styles in the Academy-Industry Collaboration
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    Chapter 5 Abduction, Induction, and Analogy
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    Chapter 6 Belief Revision vs. Conceptual Change in Mathematics
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    Chapter 7 Affordances as Abductive Anchors
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    Chapter 8 A Model-Based Reasoning Approach to Prevent Crime
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    Chapter 9 Abducing the Crisis
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    Chapter 10 Pathophysiology of Cancer and the Entropy Concept
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    Chapter 11 A Pattern Language for Roberto Burle Marx Landscape Design
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    Chapter 12 A Visual Model of Peirce’s 66 Classes of Signs Unravels His Late Proposal of Enlarging Semiotic Theory
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    Chapter 13 The Role of Agency Detection in the Invention of Supernatural Beings
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    Chapter 14 Does Logic Count?
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    Chapter 15 Causal Abduction and Alternative Assessment: A Logical Problem in Penal Law
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    Chapter 16 On a Theoretical Analysis of Deceiving: How to Resist a Bullshit Attack
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    Chapter 17 Using Analogical Representations for Mathematical Concept Formation
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    Chapter 18 Good Experimental Methodologies and Simulation in Autonomous Mobile Robotics
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    Chapter 19 The Logical Process of Model-Based Reasoning
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    Chapter 20 Constructive Research and Info-computational Knowledge Generation
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    Chapter 21 Emergent Semiotics in Genetic Programming and the Self-Adaptive Semantic Crossover
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    Chapter 22 An Episodic Memory Implementation for a Virtual Creature
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    Chapter 23 Abduction and Meaning in Evolutionary Soundscapes
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    Chapter 24 Consequences of a Diagrammatic Representation of Paul Cohen’s Forcing Technique Based on C.S. Peirce’s Existential Graphs
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    Chapter 25 How Brains Make Mental Models
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    Chapter 26 Applications of an Implementation Story for Non-sentential Models
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    Chapter 27 Does Everyone Think, or Is It Just Me?
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    Chapter 28 Morality According to a Cognitive Interpretation: A Semantic Model for Moral Behavior
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    Chapter 29 The Symbolic Model for Algebra: Functions and Mechanisms
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    Chapter 30 The Theoretician’s Gambits: Scientific Representations, Their Formats and Content
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    Chapter 31 Modeling the Epistemological Multipolarity of Semiotic Objects
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    Chapter 32 Imagination in Thought Experimentation: Sketching a Cognitive Approach to Thought Experiments
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    Chapter 33 Representations of Contemporaneous Events of a Story for Novice Readers
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    Chapter 34 Understanding and Augmenting Human Morality: An Introduction to the ACTWith Model of Conscience
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    Chapter 35 Analog Modeling of Human Cognitive Functions with Tripartite Synapses
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    Chapter 36 The Leyden Jar in Luigi Galvani’s thought: A Case of Analogical Visual Modeling
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    Chapter 37 Modeling the Causal Structure of the History of Science
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Chapter title
A Model-Based Reasoning Approach to Prevent Crime
Chapter number 8
Book title
Model-Based Reasoning in Science and Technology
Published by
Springer, Berlin, Heidelberg, January 2010
DOI 10.1007/978-3-642-15223-8_8
Book ISBNs
978-3-64-215222-1, 978-3-64-215223-8
Authors

Tibor Bosse, Charlotte Gerritsen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Bachelor 3 21%
Lecturer 1 7%
Student > Master 1 7%
Researcher 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Computer Science 6 43%
Social Sciences 2 14%
Agricultural and Biological Sciences 1 7%
Business, Management and Accounting 1 7%
Materials Science 1 7%
Other 0 0%
Unknown 3 21%