000 04257nam a22005535i 4500
001 978-4-431-54758-7
003 DE-He213
005 20170628040258.0
007 cr nn 008mamaa
008 140224s2014 ja | s |||| 0|eng d
020 _a9784431547587
_9978-4-431-54758-7
024 7 _a10.1007/978-4-431-54758-7
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aMarsa-Maestre, Ivan.
_eeditor.
245 1 0 _aNovel Insights in Agent-based Complex Automated Negotiation
_h[electronic resource] /
_cedited by Ivan Marsa-Maestre, Miguel A. Lopez-Carmona, Takayuki Ito, Minjie Zhang, Quan Bai, Katsuhide Fujita.
264 1 _aTokyo :
_bSpringer Japan :
_bImprint: Springer,
_c2014.
300 _aX, 204 p. 50 illus., 15 illus. in color.
_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 ;
_v535
505 0 _aIntra-Team Strategies for Teams Negotiating Against Competitor, Matchers and Conceders -- Alternative Social Welfare Definitions for Multiparty Negotiation Protocols -- Multilateral Mediated Negotiation Protocols with Feedback -- Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies -- A Dynamic, Optimal Approach for Multi-Issue Negotiation under Time Constraints -- On Dynamic Negotiation Strategy for Concurrent Negotiation over Distinct Objects -- Reducing The Complexity of Negotiations Over Interdependent Issues -- Evaluation of the Reputation Network Using Realistic Distance Between Facebook Data -- An Overview of the Results and Insights from The Third Automated Negotiating Agents Competition (ANAC2012) -- An Adaptive Negotiation Strategy for Real-time Bilateral Negotiations -- CUHK Agent: An Adaptive Negotiation Strategy for Bilateral Negotiations over Multiple Items -- Agent MR: Concession Strategy Based on Heuristic for Automated Negotiating Agents -- OMAC: A Discrete Wavelet Transformation based Negotiation Agent -- The Simple-Meta Agent.
520 _aThis book focuses on all aspects of complex automated negotiations, which are studied in the field of autonomous agents and multi-agent systems. This book consists of two parts. I: Agent-Based Complex Automated Negotiations, and II: Automated Negotiation Agents Competition. The chapters in Part I are extended versions of papers presented at the 2012 international workshop on Agent-Based Complex Automated Negotiation (ACAN), after peer reviews by three Program Committee members. Part II examines in detail ANAC 2012 (The Third Automated Negotiating Agents Competition), in which automated agents that have different negotiation strategies and are implemented by different developers are automatically negotiated in the several negotiation domains. ANAC is an international competition in which automated negotiation strategies, submitted by a number of universities and research institutes across the world, are evaluated in tournament style. The purpose of the competition is to steer the research in the area of bilateral multi-issue, closed negotiation. This book also includes the rules, results, agents, and domain descriptions for ANAC 2011 as submitted by the organizers and finalists.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aPhysics.
650 0 _aEconomics, Mathematical.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aGame Theory/Mathematical Methods.
650 2 4 _aComplexity.
700 1 _aLopez-Carmona, Miguel A.
_eeditor.
700 1 _aIto, Takayuki.
_eeditor.
700 1 _aZhang, Minjie.
_eeditor.
700 1 _aBai, Quan.
_eeditor.
700 1 _aFujita, Katsuhide.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9784431547570
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v535
856 4 0 _uhttp://dx.doi.org/10.1007/978-4-431-54758-7
912 _aZDB-2-ENG
999 _c28378
_d28378