Isbn: 9783639169652 - adjusting autonomy in multi-agent bioinformatics integration systems: a criticality-based framework (3 resultados)

Taschenbuch. Condición: Neu. 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.…

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Karasavvas KonstantinosA computer scientist at the University of Edinburgh working onnservice-oriented architectures. He has spend the last 10 yearsnworking on distributed computing, multi-agent, web/grid,nworkflow, data integration .…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - During task composition, such as can be found indistributed query processing, workflow systems and AIplanning, decisions have to be made by the system andpossibly by users with respect to how a given problemshould be solved. Although there is often more thanone correct way of solving a given problem, thesemultiple solutions do not necessarily lead to thesame result. Some researchers are addressing thisproblem by providing data provenance information.Others use expert advice encoded in a supportingknowledge-base. However, users do not usually trustcomplete automation during decision-making forcertain domains with natural variation, like biology;they need a way to be able to control and/orintervene with the system's reasoning to verify partsof the process. This book provides a thoroughanalysis of the problem and presents a data-centricmethodology of measuring decision criticality anddescribe its potential use. We argue that agenttechnology is a natural fit for the design ofdistributed heterogeneous integration systems,particularly in bioinformatics, and we propose amulti-agent system design and architecture as thebasis of our framework.…