000 03534nam a22004935i 4500
001 978-3-642-24696-8
003 DE-He213
005 20140220083304.0
007 cr nn 008mamaa
008 111103s2012 gw | s |||| 0|eng d
020 _a9783642246968
_9978-3-642-24696-8
024 7 _a10.1007/978-3-642-24696-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aIto, Takayuki.
_eeditor.
245 1 0 _aNew Trends in Agent-Based Complex Automated Negotiations
_h[electronic resource] /
_cedited by Takayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXII, 176 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v383
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.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aZhang, Minjie.
_eeditor.
700 1 _aRobu, Valentin.
_eeditor.
700 1 _aFatima, Shaheen.
_eeditor.
700 1 _aMatsuo, Tokuro.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642246951
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v383
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-24696-8
912 _aZDB-2-ENG
999 _c102324
_d102324