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Argumentation in Artificial Intelligence

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Cover of 'Argumentation in Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Argumentation Theory: A Very Short Introduction
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    Chapter 2 Semantics of Abstract Argument Systems
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    Chapter 3 Abstract Argumentation and Values
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    Chapter 4 Bipolar abstract argumentation systems
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    Chapter 5 Complexity of Abstract Argumentation
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    Chapter 6 Proof Theories and Algorithms for Abstract Argumentation Frameworks
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    Chapter 7 Argumentation Based on Classical Logic
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    Chapter 8 Argument-based Logic Programming
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    Chapter 9 A Recursive Semantics for Defeasible Reasoning
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    Chapter 10 Argumentation in Artificial Intelligence
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    Chapter 11 The Toulmin Argument Model in Artificial Intelligence
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    Chapter 12 Proof Burdens and Standards
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    Chapter 13 Dialogue Games for Agent Argumentation
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    Chapter 14 Models of Persuasion Dialogue
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    Chapter 15 Argumentation for Decision Making
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    Chapter 16 Argumentation and Game Theory
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    Chapter 17 Belief Revision and Argumentation Theory
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    Chapter 18 Argumentation in Legal Reasoning
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    Chapter 19 The Argument Interchange Format
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    Chapter 20 Empowering Recommendation Technologies Through Argumentation
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    Chapter 21 Arguing on the Semantic Grid
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    Chapter 22 Towards Probabilistic Argumentation
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    Chapter 23 Argument-Based Machine Learning
Attention for Chapter 1: Argumentation Theory: A Very Short Introduction
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Chapter title
Argumentation Theory: A Very Short Introduction
Chapter number 1
Book title
Argumentation in Artificial Intelligence
Published by
Springer US, May 2009
DOI 10.1007/978-0-387-98197-0_1
Book ISBNs
978-0-387-98196-3, 978-0-387-98197-0
Authors

Douglas Walton, Walton, Douglas

Editors

Guillermo Simari, Iyad Rahwan

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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Sweden 1 <1%
Germany 1 <1%
Spain 1 <1%
Morocco 1 <1%
Unknown 120 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 20%
Student > Master 19 15%
Researcher 15 12%
Student > Bachelor 13 10%
Student > Doctoral Student 9 7%
Other 25 19%
Unknown 23 18%
Readers by discipline Count As %
Computer Science 40 31%
Social Sciences 19 15%
Philosophy 10 8%
Business, Management and Accounting 6 5%
Engineering 6 5%
Other 20 15%
Unknown 29 22%