000 04063nam a22003735i 4500
001 280784
003 MX-SnUAN
005 20160429154037.0
007 cr nn 008mamaa
008 150903s2009 xxu| o |||| 0|eng d
020 _a9780387981970
_99780387981970
024 7 _a10.1007/9780387981970
_2doi
035 _avtls000333457
039 9 _a201509030232
_bVLOAD
_c201404130442
_dVLOAD
_c201404092231
_dVLOAD
_y201402041111
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
100 1 _aSimari, Guillermo.
_eeditor.
_9305958
245 1 0 _aArgumentation in Artificial Intelligence /
_cedited by Guillermo Simari, Iyad Rahwan.
250 _aFirst.
264 1 _aBoston, MA :
_bSpringer US,
_c2009.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aAbstract 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.
520 _aThis volume is a systematic, expansive presentation of the major achievements in the intersection between two fields of inquiry: Argumentation Theory and Artificial Intelligence. Contributions from international researchers who have helped shape this dynamic area offer a progressive development of intuitions, ideas and techniques, from philosophical backgrounds, to abstract argument systems, to computing arguments, to the appearance of applications producing innovative results. Each chapter features extensive examples to ensure that readers develop the right intuitions before they move from one topic to another. In particular, the book exhibits an overview of key concepts in Argumentation Theory and of formal models of Argumentation in AI. After laying a strong foundation by covering the fundamentals of argumentation and formal argument modeling, the book expands its focus to more specialized topics, such as algorithmic issues, argumentation in multi-agent systems, and strategic aspects of argumentation. Finally, as a coda, the book explores some practical applications of argumentation in AI and applications of AI in argumentation. Argumentation in Artificial Intelligence is sure to become an essential resource for graduate students and researchers working in Autonomous Agents, AI and Law, Logic in Computer Science, Electronic Governance, and Multi-agent Systems. The book is suitable both as a comprehensive introduction to the field, and also as a highly organized and accessible reference for established researchers.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aRahwan, Iyad.
_eeditor.
_9305959
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387981963
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-98197-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c280784
_d280784