Sisäänkirjautuminen

Simari, Guillermo

Argumentation in Artificial Intelligence

Simari, Guillermo - Argumentation in Artificial Intelligence, e-kirja

109,95€

E-kirja, PDF, Adobe DRM-suojattu
ISBN: 9780387981970
DRM-rajoitukset

TulostusEi sallittu
Kopioi leikepöydälleEi sallittu

Table of contents

2. Argumentation Theory: A Very Short Introduction
Douglas Walton

3. Semantics of Abstract Argument Systems
Pietro Baroni, Massimiliano Giacomin

4. Abstract Argumentation and Values
Trevor Bench-Capon, Katie Atkinson

5. Bipolar abstract argumentation systems
Claudette Cayrol, Marie-Christine Lagasquie-Schiex

6. Complexity of Abstract Argumentation
Paul E. Dunne, Michael Wooldridge

7. Proof Theories and Algorithms for Abstract Argumentation Frameworks
Sanjay Modgil, Martin Caminada

8. Argumentation Based on Classical Logic
Philippe Besnard, Anthony Hunter

9. Argument-based Logic Programming
Alejandro J. García, Jürgen Dix, Guillermo R. Simari

10. A Recursive Semantics for Defeasible Reasoning
John L. Pollock

11. Assumption-Based Argumentation
Phan Minh Dung, Robert A. Kowalski, Francesca Toni

12. The Toulmin Argument Model in Artificial Intelligence
Bart Verheij

13. Proof Burdens and Standards
Thomas F. Gordon, Douglas Walton

14. Dialogue Games for Agent Argumentation
Peter McBurney, Simon Parsons

15. Models of Persuasion Dialogue
Henry Prakken

16. Argumentation for Decision Making
Leila Amgoud

17. Argumentation and Game Theory
Iyad Rahwan, Kate Larson

18. Belief Revision and Argumentation Theory
Marcelo Alejandro Falappa, Gabriele Kern-Isberner, Guillermo Ricardo Simari

19. Argumentation in Legal Reasoning
Trevor Bench-Capon, Henry Prakken, Giovanni Sartor

20. The Argument Interchange Format
Iyad Rahwan, Chris Reed

21. Empowering Recommendation Technologies Through Argumentation
CarlosIván Chesñevar, Ana Gabriela Maguitman, María Paula González

22. Arguing on the Semantic Grid
Paolo Torroni, Marco Gavanelli, Federico Chesani

23. Towards Probabilistic Argumentation
Ingrid Zukerman

24. Argument-Based Machine Learning
Ivan Bratko, Jure Žabkar, Martin Možina

Avainsanat: Computer Science, Algorithms, Computers and Education, Computer Applications, Mathematical Logic and Formal Languages, Artificial Intelligence (incl. Robotics)

Tekijä(t)
 
Julkaisija
Springer
Julkaisuvuosi
2009
Kieli
en
Painos
1
Sivumäärä
11 sivua
Kategoria
Tietotekniikka, tietoliikenne
Tiedostomuoto
E-kirja
eISBN (PDF)
9780387981970

Samankaltaisia e-kirjoja