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), ...

Evaluating a potential client is an expensive undertaking. Potential clients are evaluated through extensive interviews, evaluation by in-house industry experts, and preliminary audit planning. The audit partner uses prior experience to make judgments about a prospective client. Decisions about a client have long lasting implications for the auditor and the client. Case-based reasoning is an in...

The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts concept hierarchies from unlabelled data, based on a representation combining the classical, prototype and exemplar views on concepts. The interpretive process is considered as an intrinsic part in OSHAM and is carried...

We report means for simplifying case instances in a case-based reasoning system for criminal summary judgments in Taiwan. We merge similar case instances, remove irrelevant terms, and weight important terms. The best method combination reduces the size of the case database by more than 60% of the most complete case database while maintaining the classification quality at about 80%.

Stories can be powerful argumentative vehicles, and they are often used in arguments from analogy, most notably as parables or allegories where the story illustrates an important claim of the argument. Case Based Reasoning in Law has many similar features. In this article, we want to take a further step at computationally modelling the connection between stories and argumentation in analogical ...

Since clinical management of patients and clinical research are essentially time-oriented endeavours, reasoning about time has recently become a hot topic in medical informatics. Here we present a method for prognosis of temporal courses, which combines temporal abstractions with Case-based Reasoning. The method was originally generated for multiparametric time course prognosis of the kidney fu...