Extending the indexing vocabulary of case based reasoning with task specific features Conference Paper

abstract

• One of the central issues in case-based reasoning is the choice of an indexical vocabulary that allows for efficient retrieval of experiential knowledge from memory. The authors propose a new indexical vocabulary based on features of abstract problem types. The rationale for such a vocabulary was supported by empirical data gathered in the domain of alloantibody identification, and by the interpretation of this data in terms of the computational complexity of abductive reasoning. A case-based reasoning model of abduction is proposed that integrates both a domain and a problem type specific indexical vocabulary. The advantages of this model in terms of memory retrieval, case adaptation and problem solving are discussed.

name of conference

• Proceedings Eighth Conference on Artificial Intelligence for Applications

authors

• Smith, Jack

published proceedings

• Proceedings Eighth Conference on Artificial Intelligence for Applications

author list (cited authors)

• Fischer, O., Smith, J. W., & Smith, P.

citation count

• 0

complete list of authors

• Fischer, O||Smith, JW||Smith, P

publication date

• January 1992

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/caia.1992.200034

start page

• 226

end page

• 232

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fcaia.1992.200034