000 05883nam a22006255i 4500
001 978-3-540-75119-9
003 DE-He213
005 20160624102112.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540751199
_9978-3-540-75119-9
024 7 _a10.1007/978-3-540-75119-9
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aCooperative Information Agents XI
_h[electronic resource] :
_b11th International Workshop, CIA 2007, Delft, The Netherlands, September 19-21, 2007. Proceedings /
_cedited by Matthias Klusch, Koen V. Hindriks, Mike P. Papazoglou, Leon Sterling.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aXI, 364 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 Computer Science,
_x0302-9743 ;
_v4676
505 0 _aInvited Contributions -- Managing Sensors and Information Sources Using Semantic Matchmaking and Argumentation -- Towards a Delegation Framework for Aerial Robotic Mission Scenarios -- Analysis of Negotiation Dynamics -- Multi-agent Learning Dynamics: A Survey -- Information Search and Processing -- An Architecture for Hybrid P2P Free-Text Search -- Multi-agent Cooperative Planning and Information Gathering -- Using Distributed Data Mining and Distributed Artificial Intelligence for Knowledge Integration -- Quantifying the Expected Utility of Information in Multi-agent Scheduling Tasks -- Applications -- Agent-Based Traffic Control Using Auctions -- High-Performance Agent System for Intrusion Detection in Backbone Networks -- A MultiAgent System for Physically Based Rendering Optimization -- Neural Network Based Multiagent System for Simulation of Investing Strategies -- Business Ecosystem Modelling: Combining Natural Ecosystems and Multi-Agent Systems -- From Local Search to Global Behavior: Ad Hoc Network Example -- Rational Cooperation -- A Generic Framework for Argumentation-Based Negotiation -- The Effect of Mediated Partnerships in Two-Sided Economic Search -- Who Works Together in Agent Coalition Formation? -- Interaction and Cooperation -- Using Ant’s Brood Sorting to Increase Fault Tolerance in Linda’s Tuple Distribution Mechanism -- Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime -- Methods for Coalition Formation in Adaptation-Based Social Networks -- Trust -- Trust Modeling with Context Representation and Generalized Identities -- Learning Initial Trust Among Interacting Agents -- A Probabilistic Framework for Decentralized Management of Trust and Quality -- Formal Analysis of Trust Dynamics in Human and Software Agent Experiments.
520 _aThese are the proceedings of the 11th International Workshop on Cooperative Information Agents (CIA 2007), held at the Delft University of Technology, The Netherlands, September 19–21, 2007. Intoday’sworldofubiquitouslyconnectedheterogeneousinformationsystems and computing devices, the intelligent coordination and provision of relevant added-value information at any time, anywhere is of key importance to a va- ety of applications. This challenge is envisioned to be coped with by means of appropriate intelligent and cooperative information agents. An information agent is a computational software entity that has access to one or multiple heterogeneous and geographically dispersed data and infor- tion sources. It pro-actively searches for and maintains information on behalf of its human users, or other agents preferably just in time. In other words, it is managing and overcoming the di?culties associated with information overload in open, pervasive information and service landscapes. Each component of a modern cooperative information system is represented by an appropriate intelligent information agent capable of resolving system and semantic heterogeneities in a given context on demand. Cooperative infor- tion agents are supposed to accomplish both individual and shared joint goals depending on the actual user preferences in line with given or deduced limits of time, budget and resources available. One major challenge of developing age- based intelligent information systems in open environments like the Internet and the Web is to balance the autonomy of networked data, information, and knowledge sources with the potential payo?s of leveraging them by the use of cooperative and intelligent information agents.
650 0 _aComputer science.
650 0 _aComputer Communication Networks.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aInformation systems.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Systems Applications (incl.Internet).
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aDatabase Management.
650 2 4 _aComputer Communication Networks.
650 2 4 _aUser Interfaces and Human Computer Interaction.
700 1 _aKlusch, Matthias.
_eeditor.
700 1 _aHindriks, Koen V.
_eeditor.
700 1 _aPapazoglou, Mike P.
_eeditor.
700 1 _aSterling, Leon.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540751182
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4676
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-75119-9
942 _2EBK7830
_cEBK
999 _c37124
_d37124