LEADER 05692nam 22007335 450 001 9910483987903321 005 20251226203904.0 024 7 $a10.1007/b138262 035 $a(CKB)1000000000213112 035 $a(SSID)ssj0000318788 035 $a(PQKBManifestationID)11241197 035 $a(PQKBTitleCode)TC0000318788 035 $a(PQKBWorkID)10336493 035 $a(PQKB)11426416 035 $a(DE-He213)978-3-540-31889-7 035 $a(MiAaPQ)EBC3067634 035 $a(PPN)123095999 035 $a(EXLCZ)991000000000213112 100 $a20100709d2005 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMassively Multi-Agent Systems I $eFirst International Workshop, MMAS 2004, Kyoto, Japan, December 10-11, 2004, Revised Selected and Invited Papers /$fedited by Toru Ishida, Les Gasser, Hideyuki Nakashima 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (XII, 352 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v3446 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$aPrinted edition: 9783540269748 320 $aIncludes bibliographical references and author index. 327 $aMassively Multi-agent Technology -- Agent Server Technology for Managing Millions of Agents -- Exploring Flows in the Intelligent Agent Grid Environment -- Adaptive Agent Allocation for Massively Multi-agent Applications -- Hierarchical Resource Usage Coordination for Large-Scale Multi-agent Systems -- Towards Fault-Tolerant Massively Multiagent Systems -- Virtual Space Ontologies for Scripting Agents -- Team and Organization -- Challenges in Building Very Large Teams -- Maximal Clique Based Distributed Coalition Formation for Task Allocation in Large-Scale Multi-agent Systems -- Quantitative Organizational Models for Large-Scale Agent Systems -- Adaptive Modeling: An Approach and a Method for Implementing Adaptive Agents -- Multi-agent Based Participatory Simulations on Various Scales -- A Massively Multi-agent System for Discovering HIV-Immune Interaction Dynamics -- A Massive Multi-agent System for Brain MRI Segmentation -- Ubiquitous Computing and Ambient Intelligence -- Mobile Agents for Ambient Intelligence -- Himalaya Framework: Hierarchical Intelligent Mobile Agents for Building Large-Scale and Adaptive Systems Based on Ambients -- Multi-agent Human-Environment Interaction Framework for the Ubiquitous Environment -- Agent Server for a Location-Aware Personalized Notification Service -- Needs and Benefits of Massively Multi Book Agent Systems for u-Libraries -- Social Network and Spatial Semantics for Real-World Information Service -- Massively Multi-agent Systems in Public Space -- A Massively Multi-agent Simulation System for Disaster Mitigation -- Designing Emergency Guidance in a Social Interaction Platform -- SmartRescue: Multi Agent System Based on Location and Context Aware Information -- Multiagent-Based Demand Bus Simulation for Shanghai -- Scalability of Dial-a-Ride Systems?ACase Study to Assess Utilities of Ubiquitous Mass User Support -- Distributed Visitors Coordination System in Theme Park Problem. 330 $aIn the era of ubiquitous computing and networking, millions of electronic devices with computing facilities in the public space are connected with each other in ad hoc ways, but are required to behave coherently. Massively multi-agent systems, MMAS can be a major design paradigm or an implementation method for ubiquitous computing and ambient intelligence. As the infrastructure of massively multi-agent systems, technologies such as grid computing together with semantic annotation can be combined with agent technology. A new system design approach, society-centered design, may be realized by embedding participatory technologies in human society. This book originates from the First International Workshop on Massively Multi-Agent Systems, MMAS 2004, held in Kyoto, Japan in December 2004. The 25 revised full selected and invited papers give an excellent introduction and overview on massively multi-agent systems. The papers are organized in parts on massively multi-agent technology, teams and organization, ubiquitous computing and ambient intelligence, and massively multi-agent systems in the public space. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v3446 606 $aArtificial intelligence 606 $aComputer networks 606 $aApplication software 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aComputer and Information Systems Applications 606 $aUser Interfaces and Human Computer Interaction 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aApplication software. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aComputer and Information Systems Applications. 615 24$aUser Interfaces and Human Computer Interaction. 676 $a006.3 701 $aIshida$b To?ru$00 701 $aGasser$b Leslie George$f1949-$052890 701 $aNakashima$b Hideyuki$01759980 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483987903321 996 $aMassively multi-agent systems I$94198689 997 $aUNINA