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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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Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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