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Expert knowledge in the criminal investigation area is mostly empirical and tacit, which brings great difficulties to construct criminal investigation decision support system (CIDSS). Case-based reasoning (CBR) is a kind of incremental learning method that records successful-solved cases with their experiences to effectively overcome the bottleneck of knowledge acquisition and be helpful to solve...
Artificial Neural Networks have previously been applied in neuro-symbolic learning to learn ground logic program rules. However, there are few results of learning relations using neuro-symbolic learning. This paper presents the system PAN, which can learn relations. The inputs to PAN are one or more atoms, representing the conditions of a logic rule, and the output is the conclusion of the rule. The...
In daily conversation, we sometimes observe a deictic interaction scene that refers to a region in a space, such as saying ??please put it over there?? with pointing. How can such an interaction be possible with a robot? Is it enough to simulate people's behaviors, such as utterance and pointing? Instead, we highlight the importance of simulating human cognition. In the first part of our study, we...
Selecting the most suitable learning object in SCORM-compliant learning object recommendation system is a complex decision process. We exploit the techniques of collaborative concept map design, ontology explaining, an evidence reasoning that may be use to deal with uncertain decision making, an evaluation analysis model and the evidence combination rule of the Dempster-Shafer theory for supporting...
Commercial real estate investment analysis is very important for the commercial real estate industry, which is influenced by a series of complicated and various factors. Previous research emphasized on a certain part of the investment analysis, such as, commercial real estate's market position, location, marketing strategy, risk control. Most of present works are to establish evaluation index system...
Design patterns are applied to solve the recurring software design problems. Unfortunately, choosing appropriate design patterns for the specific design problem is considered a difficult task. A search tool is, therefore, needed to supports selection. However, the existing design pattern searching methodologies generally have problems on keyword-search problem. In this paper, we proposed an initial...
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