000			04775nam a22004215i 4500
001			300555
003			MX-SnUAN
005			20170705134251.0
007			cr nn 008mamaa
008			150903s2009 gw | o |||| 0|eng d
020			_a9783642031908 _99783642031908
024	7		_a10.1007/9783642031908 _2doi
035			_avtls000353555
039		9	_a201509030511 _bVLOAD _c201405060322 _dVLOAD _y201402180956 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTA329-348
100	1		_aIto, Takayuki. _eeditor. _9334613
245	1	0	_aAdvances 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, _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
490	0		_aStudies in Computational Intelligence, _x1860-949X ; _v233
500			_aSpringer eBooks
505	0		_aThe Prediction of Partners’ Behaviors in Self-interested Agents -- Sequential Auctions for Common Value Objects with Budget Constrained Bidders -- A Comparative Study of Argumentation- and Proposal-Based Negotiation -- The Blind Leading the Blind: A Third-Party Model for Bilateral Multi-issue Negotiations under Incomplete Information -- Using Clustering Techniques to Improve Fuzzy Constraint Based Automated Purchase Negotiations -- Assess Your Opponent: A Bayesian Process for Preference Observation in Multi-attribute Negotiations -- Designing Risk-Averse Bidding Strategies in Sequential Auctions for Transportation Orders -- CPN-Based State Analysis and Prediction for Multi-agent Scheduling and Planning -- Adaptive Commitment Management Strategy Profiles for Concurrent Negotiations -- Analyses of Task Allocation Based on Credit Constraints -- Erratum: The Prediction of Partners’ Behaviors in Self-interested Agents.
520			_aComplex Automated Negotiations have been widely studied and are becoming an important, emerging area in the field of Autonomous Agents and Multi-Agent Systems. In general, automated negotiations can be complex, since there are a lot of factors that characterize such negotiations. These factors include the number of issues, dependency between issues, representation of utility, negotiation protocol, negotiation form (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 adequate bargaining strategies. In many multi-issue bargaining settings, negotiation becomes more than a zero-sum game, so bargaining agents have an incentive to cooperate in order to achieve efficient win-win agreements. Also, in a complex negotiation, there could be multiple issues that are interdependent. Thus, agent’s utility will become more complex than simple utility functions. Further, negotiation forms and protocols could be different between bilateral situations and multi-party situations. To realize such a complex automated negotiati on, we have to incorporate advanced Artificial Intelligence technologies includes search, CSP, graphical utility models, Bays nets, auctions, utility graphs, predicting and learning methods. Applications could include e-commerce tools, decisionmaking support tools, negotiation support tools, collaboration tools, etc. These issues are explored by researchers from different communities in Autonomous Agents and Multi-Agent systems. They are, for instance, being studied in agent negotiation, multi-issue negotiations, auctions, mechanism design, electronic commerce, voting, secure protocols, matchmaking & brokering, argumentation, and co-operation mechanisms. This book is also edited from some aspects of negotiation researches including theoretical mechanism design of trading based on auctions, allocation mechanism based on negotiation among multi-agent, case-study and analysis of automated negotiations, data engineering issues in negotiations, and so on.
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: _z9783642031892
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-03190-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942			_c14
999			_c300555 _d300555