Computational approaches to problem solving have proven their worth in many fields of science, allowing the collection and analysis of unprecedented quantities of data and the exploration via simulation of previously obscure phenomena. We now face the challenge of scaling the impact of these approaches from the specialist to entire communities. I speak here about work that seeks to address this...

This paper describes a framework for the grid flow management system in a problem solving environment (PSE) based on the Autonomous Manager Grid Service (AMGS). The design of AMGS is based on principles of agency, intelligence, collaboration and co-operation. Using AMGS that carry out tasks on behalf of machines participating in a computational grid, it is possible to build grid flow systems th...

Granular computing is a general computing paradigm of problem solving for effectively using granules in problem solving. From the viewpoint of granularity, this paper presents a new granular computing data cycle model in which information granule construction, granular space, information granule operations, and knowledge acquisition approach are proposed respectively. To do a more user oriented...

One objective of distributed artificial intelligence research is to build systems that are capable of cooperative problem solving. To this end, a number of implementation-oriented models of cooperative problem solving have been developed. However, mathematical models of social activity have focussed only on limited aspects of the cooperative problem solving process: no mathematical model of the...

This paper studies the solution of large-scale sparse linear least squares problems on distributed-memory multiprocessors. The method of corrected semi-normal equations is considered. New block-oriented parallel algorithms are developed for solving the related sparse triangular systems. The arithmetic and communication complexities of the new algorithms applied to regular grid problems are anal...

In recent years there have been a number of efforts under the Collaborative Decision Making (CDM) program that have demonstrated the benefits of disseminating both knowledge and goals between organizations in the National Airspace System (NAS), and of collaboratively building decision support tools to assist in the interpretation of the large interrelated dataset produced. This paper describes ...

We present GridUFO (Grid based Unified Framework for Optimization), a Service Oriented Architecture (SOA) compliant Problem Solving Environment (PSE) that allows the user to implement/share metaheuristics based optimization algorithms over a Grid. GridUFO eradicates the shortcomings of earlier projects and provides a unified approach for using algorithm/problem pair over a Grid in the easiest p...