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Identifier

000362793

Title

Κατανεμημένο σύστημα αναιρέσιμης συλλογιστικής για κινητές συσκευές σε περιβάλλοντα διάχυτης νοημοσύνης

Alternative Title

A distributed defeasible reasoning system for mobile devices in ambient intelligence environments

Author

Παπαθεοδώρου, Κωνσταντίνος Θεόδωρου

Thesis advisor

Αντωνίου, Γρηγόρης

Abstract

Ambient Intelligence environments consist of various devices that collect, process, change and share the available context information. The imperfect nature of context, the open and dynamic nature of ambient environments, and the special characteristics of the involved devices have introduced new research challenges on how to represent and reason with contextual information. In order to address such challenges, Bikakis et al. recently proposed Contextual Defeasible Logic (CDL), a formal framework for distributed contextual reasoning, integrating ideas from Defeasible Reasoning and Multi-Context Systems. CDL deals with ambiguities that may arise from the interaction of context theories, using defeasible mapping rules and employing a per-context preference relation represented as a total ordering on the system contexts. Here, we extend this approach to additionally deal with incomplete preference information. To enable this, we replace total preference ordering with partial ordering, and modify the argumentation framework and the distributed algorithms that were originally proposed to meet the new requirements. We also describe the architecture of an implementation on small devices, and present the definition and implementation of two concrete application scenarios from the Ambient Intelligence and the Social Mobile Networks domains. Finally, we report on our initial experiences with the deployment of contextual defeasible reasoning on actual devices and our experimentation in real environments, and discuss performance and scalability issues of the proposed approach.

Language

English

Subject

Distributed reasoning

Reasoning about context

Κατανεμημένη συλλογιστική

Συλλογιστική περιβάλλοντος

Issue date

2011-03-18

Collection

School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses

Type of Work--Post-graduate theses

Views

622

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