Case-based reasoning is one of the fastest growing areas in the field of knowledge-based
systems and this book, authored by a leader in the field, is the first comprehensive text on …

Introducing issues in dynamic memory and case-based reasoning, this comprehensive
volume presents extended descriptions of four major programming efforts conducted at Yale …

A primary research stream that contributed to the birth of case-based reasoning (CBR) was
Artificial Intelligence and Law. Since law is largely about cases, it is a particularly interesting …

This article presents a view of planning as a task supported by a dynamic memory. This view
attempts to ingegrate models of memory, learning, and planning into a single system that …

In this paper, we give an overview of our case-based reasoning program, HYPO, which
operates in the field of trade secret law. We discuss key ingredients of case-based …

Rules often contain terms that are ambiguous, poorly defined or not defined at all. In order to
interpret and apply rules containing such terms, appeal must be made to their previous …

We discuss several aspects of legal arguments, primarily arguments about the meaning of
statutes. First, we discuss how the requirements of argument guide the specification and …

HYPO is a case-based reasoning system that evaluates problems by comparing and
contrasting them with cases from its Case Knowledge Base (CKB). It generates legal …

Adaptive Planning is an approach to planning in the commonsense domain. An adaptive
planner takes advantage of the habitual nature of many of the planning situations for which it …

A persistent problem in machine planning is that of repairing plans that fail. One approach to
this problem that has been shown to be quite powerful is based on the idea that detailed …