This paper focuses on the problem of choosing the best match among a set of retrieved cases. The Select step is subtask of case retrieval that produces the case that suggests the solution for the input case. There are many different ways to accomplish this task and we propose an automatic means for it. Following the original motivation of paralleling the human similarity heuristic we argue that...

Creating AI for complex computer games requires a great deal of technical knowledge as well as engineering effort on the part of game developers. This paper focuses on techniques that enable end-users to create AI for games without requiring technical knowledge by using case-based reasoning techniques. AI creation for computer games typically involves two steps: a) generating a first version of...

Evaluation is an important issue for every scientific field and a necessity for an emerging software technology like case-based reasoning. This paper is a supplementation to the review of industrial case-based reasoning tools by K.-D. Althoff, E. Auriol, R. Barletta and M. Manago which describes the most detailed evaluation of commercial case-based reasoning tools currently available. The autho...

In forestry, it is important to be able to accurately determine the volume of timber in a harvesting site and the products that could potentially be produced from that timber. We describe new terrestrial scanning technology that can produce a greater volume of higher quality data about individual trees. We show, however, that scanner data still often produces an incomplete profile of the indivi...

This research makes use of a cognitive approach to explore a mechanism for associating ideas in a brainstorming session. Firstly, we propose a linking model integrating three principles of idea association (similarity, contrast and contiguity) with two processes of case-based reasoning (retrieval and adaptation). Based on this linking model, an experiment is conducted to elucidate the interacti...

We propose a probabilistic case-space metric for the case matching and case adaptation tasks. Central to our approach is a probability propagation algorithm adopted from Bayesian reasoning systems, which allows our case-based reasoning system to perform theoretically sound probabilistic reasoning. The same probability propagation mechanism actually ooers a uniform solution to both the case matc...

In recent years, intelligent conceptual design has become a focused attention to researchers since it appears important but difficult for system designs. This paper introduces a new concept, Extension Case Based Reasoning (ECBR), and presents the fundamental ideas of this theory, which originates from traditional case based reasoning theories. With extension information matter-elements (IFME), ...

kant believes that the concepts of a just and compassionate god and the life beyond death spring from our rational need to unite happiness with virtue. but since kant had banished happiness from any place in moral reasoning, his philosophy of religion have been deemed as not merely discontinuous with his ethics but radically opposed to it. this article tries to argue against this apparent incon...

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...

Earl is a case-based reasoning system which works in the domain of sandwich recipes. It has a case base of 9,507 cases, each being a sandwich recipe which we scraped from the web. We show how Earl can compose new sandwiches from the ingredients of sandwiches that it retrieves from its case base. On each iteration, it inserts into the sandwich the candidate ingredient which results in greatest c...