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_a10.1007/b75220 _2doi |
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_aCooperative Information Agents IV - The Future of Information Agents in Cyberspace _h[electronic resource] : _b4th International Workshop, CIA 2000 Boston, MA, USA, July 7-9, 2000 Proceedings / _cedited by Matthias Klusch, Larry Kerschberg. |
250 | _a1st ed. 2000. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2000. |
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300 |
_aX, 282 p. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1860 |
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505 | 0 | _aPersonal Information Agents on the Internet -- Adding Life-Like Synthetic Characters to the Web -- Affective Computing for Future Agents -- Agent-Based Information Gathering and Mediation -- Knowledge Agents on the Web -- ICEBERG: Exploiting Context in Information Brokering Agents -- A Dynamic Access Planning Method for Information Mediator -- What Is Query Rewriting? -- Applying Agents to Bioinformatics in GeneWeaver -- Rational Information Agents for E-Commerce -- Economic Incentives for Information Agents -- Auctio-Based Agent Negotiation via Programmable Tuple Spaces -- Task Assignment in Multiagent Systems Based on Vickrey-Type Auctioning and Leveled Commitment Contracting -- Bilateral Negotiation with Incomplete and Uncertain Information: A Decision-Theoretic Approach Using a Model of the Opponent -- On Ensuring Lower Bounds of Negotiation Results -- Towards an Experience Based Negotiation Agent -- Societies of Information Agents -- Emergen Societies of Information Agents -- A Social Mechanism of Reputation Management in Electronic Communities -- A Cybernetic Approach to the Modeling of Agent Communities -- Role of Acquaintance Models in Agent-Based Production Planning System -- Issues of Communication and Collaboration -- Agent Communication and Cooperative Information Agents -- Towards Information Agent Interoperability -- Exploiting the Ontological Qualities of Web Resources: Task-Driven Agents Structure Knowledge for Problem Solving -- Automatic Ontology Construction for a Multiagent-Based Software Gathering Service -- Information Agents: Future Inspirations and Design -- Inspiration for Future Autonomous Space Systems -- Mobile Information Agents for Cyberspace – State of the Art and Visions -- Design of Collaborative Information Agents. | |
520 | _aThese arethe proceedingsof the Fourth InternationalWorkshopon Cooperative Information Agents, held in Boston Massachusetts, USA, July 7-9, 2000. Cooperative information agent research and development focused originally onaccessingmultiple,heterogeneous,anddistributedinformationsources. Ga- ingaccesstothesesystems,throughInternetsearchengines,applicationprogram interfaces, wrappers, and web-based screens has been an important focus of - operative intelligent agents. Research has also focused on the integration of this information into a coherent model that combined data and knowledge from the multiple sources. Finally, this information is disseminated to a wide audience, giving rise to issues such as data quality, information pedigree, source reliability, information security, personal privacy, and information value. Research in - operative information agents has expanded to include agent negotiation, agent communities, agent mobility, as well as agent collaboration for information d- covery in constrained environments. TheinterdisciplinaryCIAworkshopseriesencompassesa widevarietyoft- ics dealing with cooperative information agents. All workshop proceedings have been published by Springer as Lecture Notes in Arti?cial Intelligence, Volumes 1202 (1997), 1435 (1998), and 1652 (1999), respectively. This year, the theme of the CIA workshop was ”’The Future of Information Agents in Cyberspace”, a very ?tting topic as the use of agents for information gathering, negotiation, correlation, fusion, and dissemination becomes ever more prevalent. We noted a marked trend in CIA 2000 towards addressing issues related to communities of agents that: (1) negotiate for information resources, (2) build robust ontologies to enhance search capabilities, (3) communicate forplanning and problem so- ing, (4) learn and evolve based on their experiences, and (5) assume increasing degrees of autonomy in the control of complex systems. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aData structures (Computer science). | |
650 | 0 | _aInformation theory. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aApplication software. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aData Structures and Information Theory. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
700 | 1 |
_aKlusch, Matthias. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aKerschberg, Larry. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540677031 |
776 | 0 | 8 |
_iPrinted edition: _z9783662189269 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1860 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/b75220 |
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