Understanding Similarity: A Joint Project for Psychology, Case-Based Reasoning, and Law

作者:Ulrike Hahn, Nick Chater

摘要

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.

论文关键词:Artificial Intelligence and Law, case-based reasoning, exemplar-models, legal reasoning, similarity

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论文官网地址:https://doi.org/10.1023/A:1006512431942