Argumentation in Artificial Intelligence by Iyad Rahwan (English) Hardcover Book

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Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
ISBN-13
9780387981963
Book Title
Argumentation in Artificial Intelligence
ISBN
9780387981963
Categoría

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Product Identifiers

Publisher
Springer
ISBN-10
0387981969
ISBN-13
9780387981963
eBay Product ID (ePID)
72365888

Product Key Features

Number of Pages
Xiii, 493 Pages
Publication Name
Argumentation in Artificial Intelligence
Language
English
Subject
Intelligence (Ai) & Semantics, Computer Science, General, Logic, Enterprise Applications / General
Publication Year
2009
Type
Textbook
Author
Guillermo R. Simari, Iyad Rahwan
Subject Area
Mathematics, Philosophy, Computers
Format
Hardcover

Dimensions

Item Weight
68.8 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2009-927013
Dewey Edition
22
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.3
Table Of Content
Abstract Argument Systems.- Semantics of Abstract Argument Systems.- Abstract Argumentation and Values.- Bipolar abstract argumentation systems.- Complexity of Abstract Argumentation.- Proof Theories and Algorithms for Abstract Argumentation Frameworks.- Argumentation Theory: A Very Short Introduction.- Arguments with Structure.- Argumentation Based on Classical Logic.- Argument-based Logic Programming.- A Recursive Semantics for Defeasible Reasoning.- Assumption-Based Argumentation.- The Toulmin Argument Model in Artificial Intelligence.- Proof Burdens and Standards.- Argumentation in Multi-Agent Systems.- Dialogue Games for Agent Argumentation.- Models of Persuasion Dialogue.- Argumentation for Decision Making.- Argumentation and Game Theory.- Belief Revision and Argumentation Theory.- Applications.- Argumentation in Legal Reasoning.- The Argument Interchange Format.- Empowering Recommendation Technologies Through Argumentation.- Arguing on the Semantic Grid.- Towards Probabilistic Argumentation.- Argument-Based Machine Learning.
Synopsis
This text reviews the foundational issues in argumentation and formal argument modeling before moving to more specialized topics such as algorithmic issues. It addresses practical applications of argumentation in AI and applications of AI in argumentation., Argumentation is all around us. Letters to the Editor often make points of cons- tency, and "Why" is one of the most frequent questions in language, asking for r- sons behind behaviour. And argumentation is more than 'reasoning' in the recesses of single minds, since it crucially involves interaction. It cements the coordinated social behaviour that has allowed us, in small bands of not particularly physically impressive primates, to dominate the planet, from the mammoth hunt all the way up to organized science. This volume puts argumentation on the map in the eld of Arti cial Intelligence. This theme has been coming for a while, and some famous pioneers are chapter authors, but we can now see a broader systematic area emerging in the sum of topics and results. As a logician, I nd this intriguing, since I see AI as 'logic continued by other means', reminding us of broader views of what my discipline is about. Logic arose originally out of re ection on many-agent practices of disputation, in Greek Ant- uity, but also in India and China. And logicians like me would like to return to this broader agenda of rational agency and intelligent interaction. Of course, Aristotle also gave us a formal systems methodology that deeply in uenced the eld, and eventually connected up happily with mathematical proof and foundations.
LC Classification Number
Q334-342

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