Skip to main content

Cased-Based Reasoning by Human Experts

  • Conference paper
Case-Based Reasoning Research and Development (ICCBR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3620))

Included in the following conference series:

  • 1197 Accesses

Abstract

The central insight that led to the field of Case-Based Reasoning was that human memory appears to be organized around individual episodic experiences (Schank, 1982; Kolodner, 1980). At the time, there were few empirical findings available that shed light on how humans encode, retrieve, and reason about complex experiences. In the twenty years since then, researchers in cognitive science have investigated both everyday autobiographical memory and the performance of human experts who process many individual cases within a domain, such as medical diagnosis. The results identify some important features of the case-based reasoning process in humans, and suggest new approaches to building computational models that may display similar capabilities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Seifert, C.M. (2005). Cased-Based Reasoning by Human Experts. In: Muñoz-Ávila, H., Ricci, F. (eds) Case-Based Reasoning Research and Development. ICCBR 2005. Lecture Notes in Computer Science(), vol 3620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536406_3

Download citation

  • DOI: https://doi.org/10.1007/11536406_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28174-0

  • Online ISBN: 978-3-540-31855-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics