Adjusting Autonomy in Multi-Agent Bioinformatics Integration Systems | A criticality-based framework

Konstantinos Karasavvas

ISBN 10: 3639169654 / ISBN 13: 9783639169652

Published by VDM Verlag Dr. Müller, 2009

About this Item

Adjusting Autonomy in Multi-Agent Bioinformatics Integration Systems | A criticality-based framework | Konstantinos Karasavvas | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639169652 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Bibliographic Details

• Title: Adjusting Autonomy in Multi-Agent Bioinformatics Integration Systems | A criticality-based framework
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639169654
• ISBN 13: 9783639169652
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 150W x 8H x 219D millimeters 150 millimeters width by 8 millimeters height by 219 millimeters depth
• Weight: 267 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

During task composition, such as can be found in distributed query processing, workflow systems and AI planning, decisions have to be made by the system and possibly by users with respect to how a given problem should be solved. Although there is often more than one correct way of solving a given problem, these multiple solutions do not necessarily lead to the same result. Some researchers are addressing this problem by providing data provenance information. Others use expert advice encoded in a supporting knowledge-base. However, users do not usually trust complete automation during decision-making for certain domains with natural variation, like biology; they need a way to be able to control and/or intervene with the system's reasoning to verify parts of the process. This book provides a thorough analysis of the problem and presents a data-centric methodology of measuring decision criticality and describe its potential use. We argue that agent technology is a natural fit for the design of distributed heterogeneous integration systems, particularly in bioinformatics, and we propose a multi-agent system design and architecture as the basis of our framework.

About the Author

A computer scientist at the University of Edinburgh working on service-oriented architectures. He has spend the last 10 years working on distributed computing, multi-agent, web/grid, workflow, data integration and streaming technologies leading to several publications in journals and conferences.