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Model-Based Reasoning in Science, Technology, and Medicine

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

Table of Contents

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    Book Overview
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    Chapter 1 Animal Abduction
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    Chapter 2 Communicative Gestures Facilitate Problem Solving for Both Communicators and Recipients
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    Chapter 3 The Concept of Fallacy is Empty
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    Chapter 4 Abductive Reasoning, Information, and Mechanical Systems
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    Chapter 5 Automated Abduction in Scientific Discovery
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    Chapter 6 Abduction, Medical Semeiotics and Semioethics
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    Chapter 7 Abduction and Modeling in Biosemiotics and Sociosemiotics
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    Chapter 8 Reason out Emergence from Cellular Automata Modeling
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    Chapter 9 Belief Ascription and De Re Communication
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    Chapter 10 Multiagent-Based Simulation in Biology
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    Chapter 11 Mathematics through Diagrams: Microscopes in Non-Standard and Smooth Analysis
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    Chapter 12 Cognition, Environment and the Collapse of Civilizations
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    Chapter 13 Cognitive Aspects of Tacit Knowledge and Cultural Diversity
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    Chapter 14 The Functional-Analogical Explanation in Chinese Science and Technology
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    Chapter 15 Model-Based Reasoning and Diagnosis in Traditional Chinese Medicine (TCM)
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    Chapter 16 Model-Based Reasoning in Cognitive Science
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    Chapter 17 An Examination of Model-Based Reasoning in Science and Medicine in India
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    Chapter 18 Ontology, Artefacts, and Models of Reasoning
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    Chapter 19 The Wondering Angels of the Fractal Art
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    Chapter 20 Polynomizing: Logic Inference in Polynomial Format and the Legacy of Boole
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    Chapter 21 Abductive Inference and Iterated Conditionals
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    Chapter 22 Peircean Pragmatic Truth and da Costa’s Quasi-Truth
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    Chapter 23 Sliding Mode Motion Control Strategies for Rigid Robot Manipulators
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    Chapter 24 Model-Based Chemical Compound Formulation
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    Chapter 25 Model-Based Reasoning for Self-Repair of Autonomous Mobile Robots
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    Chapter 26 Application of Bayesian Inference to Automatic Semantic Annotation of Videos
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    Chapter 27 An Algebraic Approach to Model-Based Diagnosis
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    Chapter 28 CYBERNARD: A Computational Reconstruction of Claude Bernard's Scientific Discoveries
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    Chapter 29 Do Computational Models of Reading Need a Bit of Semantics?
Attention for Chapter 29: Do Computational Models of Reading Need a Bit of Semantics?
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Chapter title
Do Computational Models of Reading Need a Bit of Semantics?
Chapter number 29
Book title
Model-Based Reasoning in Science, Technology, and Medicine
Published by
Springer Berlin Heidelberg, January 2007
DOI 10.1007/978-3-540-71986-1_29
Book ISBNs
978-3-54-071985-4, 978-3-54-071986-1
Authors

Remo Job, Claudio Mulatti

Editors

Director Lorenzo Magnani, Ping Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 3 100%
Readers by discipline Count As %
Computer Science 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%