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008 150903s2012 gw | o |||| 0|eng d
020 _a9783642246968
_99783642246968
024 7 _a10.1007/9783642246968
_2doi
035 _avtls000358086
039 9 _a201509030546
_bVLOAD
_c201405070225
_dVLOAD
_y201402191514
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ342
100 1 _aIto, Takayuki.
_eeditor.
_9334613
245 1 0 _aNew Trends in Agent-Based Complex Automated Negotiations /
_cedited by Takayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _axii, 176 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v383
500 _aSpringer eBooks
505 0 _aFrom the content: The Effect of Preference Representation on Learning Preferences in Negotiation -- Bilateral Single-Issue Negotiation Model Considering Nonlinear Utility and Time Constraint -- The Effect of Grouping Issues in Multiple Interdependent Issues Negotiation based on Cone-Constraints -- Automated Agents that Proficiently Negotiate with People: Can We Keep People out of the Evaluation Loop -- Matchmaking in Multi-attribute Auctions using a Genetic Algorithm and a Particle Swarm Approach.
520 _aComplex Automated Negotiations represent an important, emerging area in the field of Autonomous Agents and Multi-Agent Systems. Automated negotiations can be complex, since there are a lot of factors that characterize such negotiations. These factors include the number of issues, dependencies between these issues,  representation of utilities, the negotiation protocol, the number of parties in the negotiation (bilateral or multi-party), time constraints, etc. Software agents can support automation or simulation of such complex negotiations on the behalf of their owners, and can provide them with efficient bargaining strategies. To realize such a complex automated negotiation, we have to incorporate advanced Artificial Intelligence technologies includes search, CSP, graphical utility models, Bayes nets, auctions, utility graphs, predicting and learning methods. Applications could include e-commerce tools, decision-making support tools, negotiation support tools, collaboration tools, etc. This book aims to provide a description of the new trends in Agent-based, Complex Automated Negotiation, based on the papers from leading researchers. Moreover, it gives an overview of the latest scientific efforts in this field, such as the platform and strategies of automated negotiating techniques.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aZhang, Minjie.
_eeditor.
_9334612
700 1 _aRobu, Valentin.
_eeditor.
_9338066
700 1 _aFatima, Shaheen.
_eeditor.
_9338067
700 1 _aMatsuo, Tokuro.
_eeditor.
_9334611
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642246951
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-24696-8
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c303710
_d303710