-------- Original-Nachricht -------- Betreff: [computational.science] Call for Papers Datum: Mon, 11 Dec 2006 16:15:09 +0000 Von: Peter Milligan p.milligan@qub.ac.uk Antwort an: p.milligan@qub.ac.uk Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
Call for Papers for a special issue in the international journal Artificial Intelligence Review
Title: Artificial Intelligence and the Grid
Guest Editors: R. H. Perrott, P. Milligan and P. P. Sage Queen’s University Belfast
The concept of the grid can be regarded as a facility with a number of layered components. The first layer is the computational grid which will provide the raw computing power, high speed bandwidth interconnection and associate data storage. The second layer, which is superimposed on top of the computational grid, is known as the information grid which will allow easily accessible connections to major sources of information and tools for its analysis and visualisation. The next layer is the knowledge grid which involves special techniques that give added value to the information and also provide intelligent guidance for decision-makers. This Call for Papers is concerned mainly with this last layer.
Artificial intelligence has been a main stream research area for many years and the resulting numerous AI tools and techniques have been deployed in a wide variety of application areas. For example, expert systems and neural networks have been used in the various processes associated with autoparallelisation.
Can AI techniques assist in the development of novel systems, environments and applications within the context of grid platforms ?
This special issue intends to focus on this union of research areas and seeks papers that demonstrate how AI techniques are being used to assist in the development of quality systems intended for use on Grids.
Topics include but are not limited the use of AI techniques within:
Intelligent and Virtual Execution Environments (IVEE’s), Trust Enhanced Negotiation Protocols, Resource Aggregation, Service-Oriented Architectures, Fault-Tolerance, Collaborative Learning, Rational Argumentation among Agents, Intelligent Agent-Based Approaches for Grid Systems and Grid Applications
Deadline for Submission: Friday, 2nd March 2007
Inquiries and manuscripts should be sent to Peter Milligan at P.Milligan@qub.ac.uk or Paul Sage at P.Sage@qub.ac.uk.
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