Recently, the behaviour-based technique was received attentions for its ability to detect unknown viruses. However, the literature suggests that this technique still needs to be improved due to high false-positive rates. Addressing the issue, the current work-in-progress proposed an architecture utilizing the crowd for building an anti-virus knowledge base, which considers not only virus behavi...

Making comparative judgments of intangible stimuli or criteria (e.g. the degree of an environmental hazard or pollution factors) involves not only imprecise or inexact knowledge but also inconsistency in our own judgements. The improvement of knowledge elicitation by controlling the inconsistency of experts’ judgments is not only desirable but absolutely necessary. Due to space limitations, the...

imagine you have traveled to an unfamiliar city. before you start your daily tour around the city, you need to know a good route. in network theory (nt), this is the traveling salesman problem (tsp). a dynamic programming algorithm is often used for solving this problem. however, when the road network of the city is very complicated and dense, which is usually the case, it will take too long fo...

The U.S. Space Station planned for the 90's will comprise a large number of interacting control systems, a situation which will be too complex for humans to deal with without the aid of knowledge based systems. However, current knowledge based systems have two undesirable aspects. Brittleness: problem-solving performance degrades precipitously when the system is operating outside its intended d...

Validation of a knowledge base is an important aspect of the knowledge-based systems (KBS) development procedure, which aims to assure the system’s ability to reach correct results. Very promising seems to be knowledge-bases (KBs) generated by classification algorithms as an example of machine-learning approach. The paper addresses the issues of verification and evaluation of KBs existing as ru...

Problem solving can be compared to a search in a state space. The description of the domain knowledge must be encoded as a knowledge base, then the problem solver searches through the state space for an appropriate answer. The experiment reported here is a comparison between GAs and a rule-based system searching the same space: that of four-part harmonisations of chorale melodies. The experimen...

An acoustic-phonetic featureand knowledge-based system for the automatic segmentation, broad categorization and fine phoneme recognition of continuous speech is described. The system uses an auditory-based front-end processing and incorporates new knowledge-based algorithms to automatically segments the speech into phoneme-like segments that are further categorized into 4 main categories: sonor...

We describe a methodology for explanation generation in financial knowledge-based systems. This offers the possibility to generate explanations and diagnostics automatically to support business decision tasks. The central goal is the identification of specific knowledge structures and reasoning methods required to construct computerized explanations from financial data and models. A multistep l...