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020 _a9783540749493
_9978-3-540-74949-3
024 7 _a10.1007/978-3-540-74949-3
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aMultiagent System Technologies
_h[electronic resource] :
_b5th German Conference, MATES 2007, Leipzig, Germany, September 24-26, 2007, Proceedings /
_cedited by Paolo Petta, Jörg Müller, Matthias Klusch, Michael Georgeff.
250 _a1st ed. 2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2007.
300 _aX, 210 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4687
505 0 _aEngineering Multi-agent Systems -- Multi-Agent System: A Guiding Metaphor for the Organization of Software Development Projects -- Model Transformation for Model Driven Development of Semantic Web Enabled Multi-Agent Systems -- SmartResource Platform and Semantic Agent Programming Language (S-APL) -- Multi-agent Planning and Learning -- Subgoal Identification for Reinforcement Learning and Planning in Multiagent Problem Solving -- Medical Image Segmentation by a Multi-Agent System Approach -- Using DESs for Temporal Diagnosis of Multi-agent Plan Execution -- Multi-agent Communication, Interaction, and Coordination -- Agent Communication Using Web Services, a New FIPA Message Transport Service for Jade -- Goal-Oriented Interaction Protocols -- Multi-agent Resource Allocation -- VWM: An Improvement to Multiagent Coordination in Highly Dynamic Environments -- Dynamic Configurable Auctions for Coordinating Industrial Waste Discharges -- Distributed Clustering of Autonomous Shipping Containers by Concept, Location, and Time -- Coordinating Competitive Agents in Dynamic Airport Resource Scheduling -- Multi-agent Planning and Simulation -- Large-Scale Agent-Based Pedestrian Simulation -- Diagnosis of Plan Structure Violations -- Team Cooperation for Plan Recovery in Multi-agent Systems -- Trust and Reputation -- On the Behaviour of the TRSIM Model for Trust and Reputation -- Implementing ReGreT in a Decentralized Multi-agent Environment.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer networks .
_931572
650 0 _aSoftware engineering.
_94138
650 0 _aComputer programming.
_94169
650 0 _aInformation technology
_xManagement.
_95368
650 0 _aSocial sciences
_xData processing.
_983360
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Communication Networks.
_9160106
650 2 4 _aSoftware Engineering.
_94138
650 2 4 _aProgramming Techniques.
_9160107
650 2 4 _aComputer Application in Administrative Data Processing.
_931588
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_931815
700 1 _aPetta, Paolo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9160108
700 1 _aMüller, Jörg.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9160109
700 1 _aKlusch, Matthias.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9160110
700 1 _aGeorgeff, Michael.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9160111
710 2 _aSpringerLink (Online service)
_9160112
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540749486
776 0 8 _iPrinted edition:
_z9783540843849
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4687
_9160113
856 4 0 _uhttps://doi.org/10.1007/978-3-540-74949-3
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