The Case for Distributed Decision Making Systems

Learning in Distributed Systems for Decision Making

Collective Decision Making in Distributed Systems

We propose cognitive design patterns (CDPs) as a general methodology to design distributed artificial systems capable of cognitive processing. CDPs are reusable solutions that leverage the current understanding of cognitive processing in natural distributed systems, and that put this knowledge in use for the design of artificial ones [2]. In this paper, we derive a CDP for collective decision m...

Distributed Decision Making for Metaschedulers

We propose a distributed scheduling algorithm for HPC grids and clouds that allows users, resource providers, and grid community to participate in the scheduling decision. Its hierarchical representation of dynamically configurable criteria integrates arbitrary aspects into the process in a well-defined manner; thus, the algorithm can accommodate different views and policies of geographically d...

Distributed Rational Decision Making

Automated negotiation systems with self interested agents are becoming increas ingly important One reason for this is the technology push of a growing standardized communication infrastructure Internet WWW NII EDI KQML FIPA Concor dia Voyager Odyssey Telescript Java etc over which separately designed agents belonging to di erent organizations can interact in an open environment in real time and...

Managing Knowledge in a Distributed Decision Making Context: The Way Forward for Decision Support Systems

This paper considers the role of electronic communication in the creation and distribution of knowledge, and in particular, the creation and sharing of personalised knowledge. Personalised knowledge or “intellectual capital” is perhaps a least understood but most important asset of modern organisations. This paper reveals the creation and sharing of personalised knowledge in a network organisat...