This paper studies the use of hypothetical and value-based reasoning in US Supreme-Court cases concerning the United States Fourth Amendment. Drawing upon formal AI & Law models of legal argument a semi-formal reconstruction is given of parts of the Carney case, which has been studied previously in AI & law research on case-based reasoning. The result is compared with Rissland’s (1989) analysis...

This paper presents IntelliMeal, a case-based reasoning (CBR) system for recommending recipes. The main focus of the system is customizing recipes to a given user query re-using the domain knowledge of a CBR system within adaptation rules. In this work we implement a CBR system that works with a limited case base (21 recipes) and increase the amount of recipe recommendations by adapting these r...

Molecular structure and Function program, Hospital for Sick Children, 555 University Avenue, Toronto ON, Canada M5G 1X8. Terrence Donnelly Centre for Cellular & Biomolecular Research (Donnelly CCBR), 160 College Street, Room 930 Toronto, Ontario Canada, ON M5S 3E1. Department of Molecular Genetics and Department of Biochemistry, University of Toronto, 1 Kings College Circle, Toronto ON, Canada ...

The utility problem occurs when the performance of learning systems degrade instead of improve when additional knowledge is added. In lazy learners this degradation is seen as the increasing time it takes to search through this additional knowledge, which for a sufficiently large case base will eventually outweigh any gains from having added the knowledge. The two primary approaches to handling...

The principles of instance based function learning are presented. In IBFL one is given a set of positive examples of a functional predicate. These examples are true ground facts that illustrate the input output behaviour of the predicate. The purpose is then to predict the output of the predicate given a new input. Further assumptions are that there is no background theory and that the inputs a...

The transfer phase in machine translation (MT) systems has been considered to be more complicated titan analysis and generation~ since it is inherently a conglomeration of individual lexical rules. Currently some at tempts are being made to use case-based reasoning in machine translation, that is, to make decisions on the basis of translation examples at appropriate pohtts in MT. This paper pro...

This paper is about the dialectics of case comparison as it unfolds in legal case-based reasoning, and its aim is to provide a representation of the phenomenon in formal terms. This is done by formalising argument moves in case comparison concisely in argument schemes, and specifying attack relations between the arguments and their corresponding counterarguments. A feature that is new in resear...

We believe that Case-Based Reasoning (CBR) will prove applicable to design, at least in part because we have seen designers making extensive use of past cases. Construction of useful systems, however, requires resolution of many open issues. In this paper we consider three issues in particular: 1) What sort of content should be captured in a design case? 2) How should the content of a complex c...

A considerable amount of research in case-based reasoning (CBR) has recently focused on conversational CBR as a means of providing more effective support for interactive problem solving. We review progress made to date and identify challenges that remain to be addressed.

Much recent research on modeling memory processes has focused on identifying useful indices and retrieval strategies to support particular memory tasks. Another important question concerning memory processes, however, is how retrieval criteria are learned. This paper examines the issues involved in modeling the learning of memory search strategies. It discusses the general requirements for appr...