A multi-agent intelligent environment for medical knowledge.
Artif Intell Med
; 27(3): 335-66, 2003 Mar.
Article
em En
| MEDLINE
| ID: mdl-12667742
ABSTRACT
AMPLIA is a multi-agent intelligent learning environment designed to support training of diagnostic reasoning and modelling of domains with complex and uncertain knowledge. AMPLIA focuses on the medical area. It is a system that deals with uncertainty under the Bayesian network approach, where learner-modelling tasks will consist of creating a Bayesian network for a problem the system will present. The construction of a network involves qualitative and quantitative aspects. The qualitative part concerns the network topology, that is, causal relations among the domain variables. After it is ready, the quantitative part is specified. It is composed of the distribution of conditional probability of the variables represented. A negotiation process (managed by an intelligent MediatorAgent) will treat the differences of topology and probability distribution between the model the learner built and the one built-in in the system. That negotiation process occurs between the agents that represent the expert knowledge domain (DomainAgent) and the agent that represents the learner knowledge (LearnerAgent).
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Conhecimento
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Educação Médica
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Modelos Teóricos
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
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Qualitative_research
Limite:
Humans
Idioma:
En
Ano de publicação:
2003
Tipo de documento:
Article