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| 003 | DE-He213 | ||
| 005 | 20191013143943.0 | ||
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| 008 | 100301s2007 gw | s |||| 0|eng d | ||
| 020 | 6 | 4 |
_a9783540751199 _9978-3-540-75119-9 |
| 024 | 8 | 7 |
_a10.1007/978-3-540-75119-9 _2doi |
| 050 | 8 | 4 | _aQ334-342 |
| 050 | 8 | 4 | _aTJ210.2-211.495 |
| 072 | 8 | 7 |
_aUYQ _2bicssc |
| 072 | 8 | 7 |
_aTJFM1 _2bicssc |
| 072 | 8 | 7 |
_aCOM004000 _2bisacsh |
| 082 |
_a006.3 _223 |
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| 100 | 8 | 1 |
_aKlusch, Matthias. _eeditor. _9135348 |
| 245 | 9 | 7 |
_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. |
| 001 | 000065379 | ||
| 300 | 6 | 4 |
_aXI, 364 p. _bonline resource. |
| 490 | 8 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v4676 |
| 505 | 8 | 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 Ants Brood Sorting to Increase Fault Tolerance in Lindas 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 | 6 | 4 | _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 1921, 2007. Intodaysworldofubiquitouslyconnectedheterogeneousinformationsystems 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 | 8 | 0 |
_aComputer science. _9135349 |
| 650 | 8 | 0 |
_aComputer Communication Networks. _9135350 |
| 650 | 8 | 0 |
_aDatabase management. _9135351 |
| 650 | 8 | 0 |
_aData mining. _98942 |
| 650 | 8 | 0 |
_aInformation systems. _9135352 |
| 650 | 8 | 0 |
_aArtificial intelligence. _98970 |
| 650 |
_aComputer Science. _9135353 |
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| 650 |
_aArtificial Intelligence (incl. Robotics). _98973 |
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| 650 |
_aInformation Systems Applications (incl.Internet). _99469 |
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| 650 |
_aData Mining and Knowledge Discovery. _98949 |
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| 650 |
_aDatabase Management. _9135354 |
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| 650 |
_aComputer Communication Networks. _9135350 |
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| 650 |
_aUser Interfaces and Human Computer Interaction. _99817 |
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| 700 | 8 | 1 |
_aHindriks, Koen V. _eeditor. _9135355 |
| 700 | 8 | 1 |
_aPapazoglou, Mike P. _eeditor. _9135356 |
| 700 | 8 | 1 |
_aSterling, Leon. _eeditor. _9135357 |
| 710 | 8 | 2 |
_aSpringerLink (Online service) _9135358 |
| 773 | 8 | 0 | _tSpringer eBooks |
| 776 |
_iPrinted edition: _z9783540751182 |
||
| 830 | 8 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v4676 _9135359 |
| 856 |
_uhttp://dx.doi.org/10.1007/978-3-540-75119-9 _zde clik aquí para ver el libro electrónico |
||
| 264 | 8 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007. |
| 336 | 6 | 4 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
| 338 | 6 | 4 |
_aonline resource _bcr _2rdacarrier |
| 347 | 6 | 4 |
_atext file _bPDF _2rda |
| 516 | 6 | 4 | _aZDB-2-SCS |
| 516 | 6 | 4 | _aZDB-2-LNC |
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| 942 | _c05 | ||