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Cooperative Information Agents XI: 11th International Workshop, CIA 2007, Delft, The Netherlands, September 19-21, 2007, Proceedings 2007 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 364 pages, kõrgus x laius: 235x155 mm, kaal: 575 g, XI, 364 p. With online files/update., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 4676
  • Ilmumisaeg: 06-Sep-2007
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540751181
  • ISBN-13: 9783540751182
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  • Formaat: Paperback / softback, 364 pages, kõrgus x laius: 235x155 mm, kaal: 575 g, XI, 364 p. With online files/update., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 4676
  • Ilmumisaeg: 06-Sep-2007
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540751181
  • ISBN-13: 9783540751182
These 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.
Invited Contributions
Managing Sensors and Information Sources Using Semantic Matchmaking and Argumentation
1(4)
Alun Preece
Towards a Delegation Framework for Aerial Robotic Mission Scenarios
5(22)
P. Doherty
John-Jules Ch. Meyer
Analysis of Negotiation Dynamics
27(9)
Koen Hindriks
Catholijn M. Jonker
Dmytro Tykhonov
Multi-agent Learning Dynamics: A Survey
36(21)
H. Jaap van den Herik
D. Hennes
M. Kaisers
K. Tuyls
K. Verbeeck
Information Search and Processing
An Architecture for Hybrid P2P Free-Text Search
57(15)
Avi Rosenfeld
Claudia V. Goldman
Gal A. Kaminka
Sarit Kraus
Multi-agent Cooperative Planning and Information Gathering
72(17)
Fariba Sadri
Using Distributed Data Mining and Distributed Artificial Intelligence for Knowledge Integration
89(15)
Ana C.M.P. de Paula
Braulio C. Avila
Edson Scalabrin
Fabricio Enembreck
Quantifying the Expected Utility of Information in Multi-agent Scheduling Tasks
104(15)
Avi Rosenfeld
Sarit Kraus
Charlie Ortiz
Applications
Agent-Based Traffic Control Using Auctions
119(15)
Heiko Schepperle
Klemens Bohm
High-Performance Agent System for Intrusion Detection in Backbone Networks
134(15)
Martin Rehak
Michal Pechoucek
Pavel Celeda
Vojtech Krmicek
Jiri Moninec
Tomas Dymacek
David Medvigy
A MultiAgent System for Physically Based Rendering Optimization
149(15)
Carlos Gonzalez-Morcillo
Gerhard Weiss
Luis Jimenez
David Vallejo
Javier Albusac
Neural Network Based Multiagent System for Simulation of Investing Strategies
164(17)
Darius Plikynas
Rimvydas Aleksiejunas
Business Ecosystem Modelling: Combining Natural Ecosystems and Multi-Agent Systems
181(15)
Cesar A. Marin
Iain Stalker
Nikolay Mehandjiev
From Local Search to Global Behavior: Ad Hoc Network Example
196(13)
Osher Yadgar
Rational Cooperation
A Generic Framework for Argumentation-Based Negotiation
209(15)
Markus M. Geipel
Gerhard Weiss
The Effect of Mediated Partnerships in Two-Sided Economic Search
224(17)
Philip Hendrix
David Sarne
Who Works Together in Agent Coalition Formation?
241(14)
Vicki H. Allan
Kevin Westwood
Interaction and Cooperation
Using Ant's Brood Sorting to Increase Fault Tolerance in Linda's Tuple Distribution Mechanism
255(15)
Matteo Casadei
Ronaldo Menezes
Mirko Viroli
Robert Tolksdorf
Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime
270(15)
Gerben G. Meyer
Nick B. Szirbik
Methods for Coalition Formation in Adaptation-Based Social Networks
285(13)
Levi Barton
Vicki H. Allan
Trust
Trust Modeling with Context Representation and Generalized Identities
298(15)
Martin Rehak
Michal Pechoucek
Learning Initial Trust Among Interacting Agents
313(15)
Achim Rettinger
Matthias Nickles
Volker Tresp
A Probabilitic Framework for Decentralized Management of Trust and quality
328(15)
Le-Hung Vu
Karl Aberer
Formal Analysis of Trust Dynamics in Human and Software Agent Experiments
343(18)
Tibor Bosse
Catholijn M. Jonker
Jan Treur
Dmytro Tykhonov
Author Index 361