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A Guided Tour of Artificial Intelligence Research

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Cover of 'A Guided Tour of Artificial Intelligence Research'

Table of Contents

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    Book Overview
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    Chapter 1 Elements for a History of Artificial Intelligence
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    Chapter 2 Knowledge Representation: Modalities, Conditionals, and Nonmonotonic Reasoning
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    Chapter 3 Representations of Uncertainty in Artificial Intelligence: Probability and Possibility
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    Chapter 4 Representations of Uncertainty in AI: Beyond Probability and Possibility
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    Chapter 5 Qualitative Reasoning
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    Chapter 6 Reasoning with Ontologies
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    Chapter 7 Compact Representation of Preferences
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    Chapter 8 Norms and Deontic Logic
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    Chapter 9 A Glance at Causality Theories for Artificial Intelligence
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    Chapter 10 Case-Based Reasoning, Analogy, and Interpolation
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    Chapter 11 Statistical Computational Learning
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    Chapter 12 Reinforcement Learning
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    Chapter 13 Argumentation and Inconsistency-Tolerant Reasoning
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    Chapter 14 Main Issues in Belief Revision, Belief Merging and Information Fusion
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    Chapter 15 Reasoning About Action and Change
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    Chapter 16 Multicriteria Decision Making
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    Chapter 17 Decision Under Uncertainty
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    Chapter 18 Collective Decision Making
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    Chapter 19 Formalization of Cognitive-Agent Systems, Trust, and Emotions
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    Chapter 20 Negotiation and Persuasion Among Agents
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    Chapter 21 Diagnosis and Supervision: Model-Based Approaches
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    Chapter 22  and
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    Chapter 23 Knowledge Engineering
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Title
A Guided Tour of Artificial Intelligence Research
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-06164-7
ISBNs
978-3-03-006163-0, 978-3-03-006164-7
Editors

Pierre Marquis, Odile Papini, Henri Prade

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 26%
Student > Ph. D. Student 4 15%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 1 4%
Other 2 7%
Unknown 9 33%
Readers by discipline Count As %
Engineering 7 26%
Computer Science 6 22%
Philosophy 1 4%
Mathematics 1 4%
Business, Management and Accounting 1 4%
Other 2 7%
Unknown 9 33%