Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/15252

TitleEvolutionary intelligence in agent modeling and interoperability
Author(s)Miranda, Miguel
Machado, José Manuel
Abelha, António
Neves, José
Neves, João
KeywordsMulti-agent systems
INtelligent systems
Healthcare
Issue date2011
PublisherSpringer
JournalAdvances in Intelligent and Soft Computing
Abstract(s)A healthcare organization to be tuned with the users expectations, and to act ac- cording to its goals, must be accountable for the quality, cost, and overall care of the beneficiaries. In this paper we describe a model of clinical information designed to make health information systems properly interoperable and safely computable, based on an Evolutionary Intelligence approach that generates quantified scenarios from defective knowledge. The model is a response to a number of requirements, ranging from the semantic ones to the evaluation of software performance at run- time; it is among the biggest challenges in engineering nowadays.
TypeConference paper
URIhttp://hdl.handle.net/1822/15252
ISBN978-3642199363
DOI10.1007/978-3-642-19937-0_33
ISSN1867-5662
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:DI/CCTC - Livros e Capítulos de livros

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