Linked Life Data

15890745

Source:http://linkedlifedata.com/resource/pubmed/id/15890745

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
14
pubmed:dateCreated
2005-6-30
pubmed:abstractText
MOTIVATION: 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. In this paper, we propose an approach that assesses the importance of such decisions with respect to the overall result. We present a way of measuring decision criticality and describe its potential use. RESULTS: A multi-agent bioinformatics integration system is used as the basis of a framework that facilitates such functionality. We propose an agent architecture, and a concrete bioinformatics example (prototype) is used to show how certain decisions may not be critical in the context of more complex tasks.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1367-4803
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
21
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3155-63
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
A criticality-based framework for task composition in multi-agent bioinformatics integration systems.
pubmed:affiliation
School of Mathematical and Computer Sciences, Heriot-Watt University Edinburgh EH14 4AS, UK. ceekk@macs.hw.ac.uk
pubmed:publicationType
Journal Article, Evaluation Studies