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Case-Based Reasoning (CBR), which provides a foundation for a new technology of intelligent computer systems that can solve problems and adapt to new situations, is the process of solving new problems based on the solutions of similar past problems. In the present paper we give a fuzzy representation of a CBR system and we use the total possibilistic uncertainty as a measure of its effectivenes...

Integrating multiple reasoning mode is useful in complex domains like the game of Go. Go players use various forms of reasoning during a game. Reasoning at the tactical level is completely different from reasoning at the strategic level. Choosing a plan requires a different form of reasoning than knowing how to execute a plan. This paper gives examples of the integration of these reasoning mode...

This paper presents GENA, a case-based reasoning system capable of generating audio-visual narratives by drawing from previously annotated content. Broadcast networks spend a large amount of resources in covering many events and many different types of audiences. However, it is not reasonable for them to cover smaller events or audiences, for which the cost would be greater than the potential b...

Researchers who build autonomous agents are primarily interested in integrating the aspects of agency which were once thought decomposable and independent. A theory of agency for everyday worlds must address the problems that an agent has a limited time to plan, and that an agent must be able to cope with an incomplete domain physics. The Case-based Agency projects at the AI Lab at the Universi...

A challenge for any case-based reasoning system is how to acquire the cases with which to reason. Here we explore acquiring cases via natural language instruction by a person. We show how, using microstories (1-3 sentence stories) expressed in simplified English syntax, small cases – called common sense units – can be incrementally added to improve analogical reasoning performance.

Although the elaboration of the case representation is the key problem of the case-based reasoning system conception, there exists no proven methodology targeted to this task. This paper is a contribution to fill this gap in the maintenance domain, more precisely in the equipments diagnostic and repair help. A methodology to elaborate the case representation is proposed based on knowledge manag...

The success of a case-based reasoning system depends critically on the performance of the retrieval algorithm used and, specifically, on its efficiency, competence, and quality characteristics. In this paper we describe a novel retrieval technique that is guided by a model of case competence and that, as a result, benefits from superior efficiency, competence and quality features.

We have developed a two-level case-based reasoning architecture for predicting protein secondary structure. The central idea is to break the problem into two levels: first, reasoning at the object (protein) level, and using the global information from this level to focus on a more restricted problem space; second, decomposing objects into pieces (segments), and reasoning at the internal structu...

The research described in this paper focuses on global tempo transformations of monophonic audio recordings of saxophone jazz performances. More concretely, we have investigated the problem of how a performance played at a particular tempo can be automatically rendered at another tempo while preserving its expressivity. To do so we have developed a case-based reasoning system called TempoExpres...