Understanding similarity : A joint project for psychology, case-based reasoning, and law
Hahn, Ulrike and Chater, Nick. (1998) Understanding similarity : A joint project for psychology, case-based reasoning, and law. Artificial Intelligence Review, 12 (5). pp. 393-427. ISSN 0269-2821Full text not available from this repository.
Official URL: http://dx.doi.org/10.1023/A:1006512431942
Case-based Reasoning (CBR) began as a theory of human cognition, but has attracted relatively little direct experimental or theoretical investigation in psychology. However, psychologists have developed a range of instance-based theories of cognition and have extensively studied how similarity to past cases can guide categorization of new cases. This paper considers the relation between CBR and psychological research, focussing on similarity in human and artificial case-based reasoning in law. We argue that CBR, psychology and legal theory have complementary contributions to understanding similarity, and describe what each offers. This allows us to establish criteria for assessing existing CBR systems in law and to establish what we consider to be the crucial goals for further research on similarity, both from a psychological and a CBR perspective.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Divisions:||Faculty of Social Sciences > Warwick Business School > Behavioural Science
Faculty of Social Sciences > Warwick Business School
|Journal or Publication Title:||Artificial Intelligence Review|
|Official Date:||October 1998|
|Number of Pages:||35|
|Page Range:||pp. 393-427|
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