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Tech Report kmi-95-05 Abstract


Multiple Agent Systems for Configuration Design
Techreport ID: kmi-95-05
Date: 1995
Author(s): Stuart Watt, Zdenek Zdrahal and Mike Brayshaw
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This paper investigates how the task of configuration design can be carried out using concepts of multiple agency. Configuration design is the task of selecting components from a predefined set to complete a system which meets a given functional specification and other design constraints. It is a class of task which is conventionally solved using a single agent reflecting an arbitrary balance of the design criteria chosen by the system designer. To study the efficacy of the multiple agent approach, we show how more of the original domain knowledge can be applied in an alternative form where each agent in a multiple agent design system has individual design goals and acts in negotiation with others in order to achieve those goals. Each agent's goal represents different domain axes upon which design decisions are based. At any point where different design decisions can be made, negotiation between these agents enables a balancing between the different agent's goals, and therefore these axes, to be achieved. Using the Sisyphus-2 benchmark configuration design problem, we will compare and contrast these methods to identify their relative merits.

Publication(s):

Published in the proceedings of AISB'95. Sheffield, UK
 
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Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

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