000 05101nam a22004815i 4500
001 978-0-387-27972-5
003 DE-He213
005 20250710083940.0
007 cr nn 008mamaa
008 100301s2006 xxu| s |||| 0|eng d
020 _a9780387279725
_a99780387279725
024 7 _a10.1007/0-387-27972-5
_2doi
082 0 4 _a004.0151
_223
100 1 _aScerri, Paul.
_eeditor.
245 1 0 _aCoordination of Large-Scale Multiagent Systems
_h[recurso electrónico] /
_cedited by Paul Scerri, Régis Vincent, Roger Mailler.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _aVII, 347 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aEffects of Scaling Coordination -- The Effects of Locality and Asymmetry in Large-Scale Multiagent MDPs -- A Study of Scalability Properties in Robotic Teams -- Comparing Three Approaches to Large-Scale Coordination -- Scaling Existing Coordination Approaches -- Decentralized Partner Finding in Multi-Agent Systems -- Distributed Coordination of an Agent Society Based on Obligations and Commitments to Negotiated Agreements -- A Family of Graphical-Game-Based Algorithms for Distributed Constraint Optimization Problems -- Key-Based Coordination Strategies: Scalability Issues -- Designing Agent Utilities for Coordinated, Scalable and Robust Multi-Agent Systems -- New Approaches for Large Scale Coordination -- Learning Scalable Coalition Formation in an Organizational Context -- Multi-Agent Coordination in Open Environments -- Mobile Agents -- WIZER: Automated Model Improvement in Multi-Agent Social-Network Systems -- Robustness and Flexibility for Large Scale Coordination -- Handling Coordination Failures in Large-Scale Multi-Agent Systems -- Towards Flexible Coordination of Large Scale Multi-Agent Teams -- Techniques for Robust Planning in Degradable Multiagent Systems.
520 _aChallenges arise when the size of a group of cooperating agents is scaled to hundreds or thousands of members. In domains such as space exploration, military and disaster response, groups of this size (or larger) are required to achieve extremely complex, distributed goals. To effectively and efficiently achieve their goals, members of a group need to cohesively follow a joint course of action while remaining flexible to unforeseen developments in the environment. Coordination of Large-Scale Multiagent Systems provides extensive coverage of the latest research and novel solutions being developed in the field. It describes specific systems, such as SERSE and WIZER, as well as general approaches based on game theory, optimization and other more theoretical frameworks. The book is comprised of several distinct topic areas, addressing: Effects of Scaling Coordination The Effects of Locality and Asymmetry in Large-Scale Multiagent MDPs A Study of Scalability Properties in Robotic Teams Comparing Three Approaches to Large-Scale Coordination Scaling Existing Coordination Approaches Decentralized Partner Finding in Multi-Agent Systems Distributed Coordination of an Agent Society Based on Obligations and Commitments to Negotiated Agreements A Family of Graphical-Game-Based Algorithms for Distributed Constraint Optimization Problems Key-Based Coordination Strategies: Scalability Issues Designing Agent Utilities for Coordinated, Scalable and Robust Multi-Agent Systems New Approaches for Large Scale Coordination Learning Scalable Coaltion Formation in an Organizational Content Multi-Agent Coordination in Open Environments Mobile Agents WIZER: Automated Model Improvement in Multi-Agent Social-Network Systems Robustness and Flexibility in Large-Scale Multi-Agent Systems Handling Coordination Failures in Large-Scale Multi-Agent Systems Towards Flexible Coordination of Large Scale Multi-Agent Teams Techniques for Robust Planning in Degradable Multiagent Systems This volume will be of interest to researchers in academia and industry, as well as advanced-level students. Represented here are the initial steps taken towards revolutionizing systems of large scale coordination for immediate and future challenges.
650 0 _aCOMPUTER SCIENCE.
650 0 _aSOFTWARE ENGINEERING.
650 0 _aINFORMATION THEORY.
650 0 _aARTIFICIAL INTELLIGENCE.
650 1 4 _aCOMPUTER SCIENCE.
650 2 4 _aTHEORY OF COMPUTATION.
650 2 4 _aCOMPUTATION BY ABSTRACT DEVICES.
650 2 4 _aARTIFICIAL INTELLIGENCE (INCL. ROBOTICS).
650 2 4 _aMATHEMATICAL LOGIC AND FORMAL LANGUAGES.
650 2 4 _aSOFTWARE ENGINEERING/PROGRAMMING AND OPERATING SYSTEMS.
700 1 _aVincent, Régis.
_eeditor.
700 1 _aMailler, Roger.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387261935
856 4 0 _uhttp://dx.doi.org/10.1007/0-387-27972-5
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-SCS
942 _2ddc
_cER
999 _c56757
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