Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
A hybrid metareasoning architecture combining case-based reasoning and
 

Summary: A hybrid metareasoning architecture
combining case-based reasoning and
Bayesian networks
Tor Gunnar HOUELAND a
, Tore BRULAND b
, Agnar AAMODT a
and
Helge LANGSETH a
a
Department of Computer and Information Science
b
Department of Cancer Research and Molecular Medicine
Norwegian University of Science and Technology, Norway
Abstract. In complex domains, a single type of knowledge and reasoning method
is often not sufficient for a decision support system to address the variety of tasks
a user performs. It is often necessary to determine which reasoning method would
be the most appropriate for each task, and a combination of different methods has
often shown the best results. We examine the strengths and weaknesses of two com-
plementary reasoning methods, case-based reasoning and Bayesian networks, and
discuss how they can be combined to form a more robust and better-performing

  

Source: Aamodt, Agnar - Department of Computer and Information Science, Norwegian University of Science and Technology

 

Collections: Computer Technologies and Information Sciences