Informatics Report Series


Report   

EDI-INF-RR-1313


Related Pages

Report (by Number) Index
Report (by Date) Index
Author Index
Institute Index

Home
Title:Ontology Evolution in Physics (Thesis Proposal)
Authors: Michael Chan
Date:Dec 2008
Publication Type:Other Publication Status:Submitted
Abstract:
This thesis proposal outlines a research project on automated ontology evolution in the physics domain. We argue that intelligent agents must be able to manipulate their own ontologies autonomously in order to communicate effectively in an open, heterogeneous environment. Patterns of fault diagnosis and resolution in reasoning, based on human problem solving skills in physics, are compiled together to form plans executable by agents. The physics domain has the advantage that many faulty ontologies, and the reasoning required to mend them, have been well-documented.
Copyright:
2009 by The University of Edinburgh. All Rights Reserved
Links To Paper
No links available
Bibtex format
@Misc{EDI-INF-RR-1313,
author = { Michael Chan },
title = {Ontology Evolution in Physics (Thesis Proposal)},
year = 2008,
month = {Dec},
}


Home : Publications : Report 

Please mail <reports@inf.ed.ac.uk> with any changes or corrections.
Unless explicitly stated otherwise, all material is copyright The University of Edinburgh