Cooperative Information Agents XI: 11th International Workshop, CIA 2007, Delft, The Netherlands, September 19-21, 2007, ProceedingsMatthias Klusch, Koen V. Hindriks, Mike P. Papazoglou, Leon Sterling Springer Science & Business Media, 2007. gada 6. sept. - 364 lappuses 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 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. |
Saturs
Managing Sensors and Information Sources Using Semantic Matchmaking and Argumentation | 1 |
Towards a Delegation Framework for Aerial Robotic Mission Scenarios | 5 |
Analysis of Negotiation Dynamics | 27 |
A Survey | 36 |
An Architecture for Hybrid P2P FreeText Search | 57 |
Multiagent Cooperative Planning and Information Gathering | 72 |
Using Distributed Data Mining and Distributed Artificial Intelligence for Knowledge Integration | 89 |
Quantifying the Expected Utility of Information in Multiagent Scheduling Tasks | 104 |
Ad Hoc Network Example | 196 |
A Generic Framework for ArgumentationBased Negotiation | 209 |
The Effect of Mediated Partnerships in TwoSided Economic Search | 224 |
Who Works Together in Agent Coalition Formation? | 241 |
Using Ants Brood Sorting to Increase Fault Tolerance in Lindas Tuple Distribution Mechanism | 255 |
A Mechanism to Overcome Problems in Agent Interactions During Runtime | 270 |
Methods for Coalition Formation in AdaptationBased Social Networks | 285 |
Trust Modeling with Context Representation and Generalized Identities | 298 |
AgentBased Traffic Control Using Auctions | 119 |
HighPerformance Agent System for Intrusion Detection in Backbone Networks | 134 |
A MultiAgent System for Physically Based Rendering Optimization | 149 |
Neural Network Based Multiagent System for Simulation of Investing Strategies | 164 |
Combining Natural Ecosystems and MultiAgent Systems | 181 |
Learning Initial Trust Among Interacting Agents | 313 |
A Probabilistic Framework for Decentralized Management of Trust and Quality | 328 |
Formal Analysis of Trust Dynamics in Human and Software Agent Experiments | 343 |
360 | |
Citi izdevumi - Skatīt visu
Cooperative Information Agents XI: 11th International Workshop, CIA 2007 ... Matthias Klusch,Koen V. Hindriks,Mike P. Papazoglou,Leon Sterling Ierobežota priekšskatīšana - 2007 |
Cooperative Information Agents XI: 11th International Workshop, CIA 2007 ... Matthias Klusch,Koen V. Hindriks,Mike P. Papazoglou,Leon Sterling Ierobežota priekšskatīšana - 2007 |
Cooperative Information Agents XI: 11th International Workshop, CIA 2007 ... Matthias Klusch,Koen V. Hindriks,Mike P. Papazoglou,Leon Sterling Priekšskatījums nav pieejams - 2009 |
Bieži izmantoti vārdi un frāzes
abductive logic action adaptation agent types agent-based algorithm alignment approach Artificial Intelligence Autonomous Agents average behavior business ecosystem cluster complex computational constraints context convergence Coop1 cooperative Coopetitive cost Data Mining defined delegation detection distribution domain dynamic ecosystem environment evaluation example experiences FIFO framework function goal Heidelberg implementation index fund initial interaction Interpolation Band intersection inverted list investment iterations Klusch layer LNAI machine learning MAgarRO mechanism methods Multi-Agent Systems Nash equilibrium negotiation NetFlow nodes number of agents operations optimal option parameters partner peer performance Petri Nets PHIRST platforms portfolio problem Profit agents proposed Q-learning QoS model query represent rewiring scanning scenario Section selection simulation specific state(y strategy structured subtasks Table task tightness measure traffic transition trust model trust values tuple space two-sided search Unmanned Aerial Vehicle unstructured search update utility vehicles