This paper reports the application of an object-oriented case-based expert system for supporting an officer in awarding punishment for serious discipline cases in the Hong Kong Civil Service (HKCS). Over the years, there exist more than 1,500 serious discipline cases in HKCS, such as negligence of duty, conflict of interest, misbehavior, fraud and dishonesty. The determination of punishment is ...

Existing multimedia applications are developed by media production specialists, usually delivered on read–only storage medium (CD–ROM, Videodiscs), exhibit huge initial startup cost, do not provide any intelligent control, require specialized hardware and/or software, modification and upgrades are expensive and time consuming, and are suitable for stable and often generic subject matters. This ...

Over the years we have developed the Disciple theory, methodology, and family of tools for building knowledge-based agents. This approach consists of developing an agent shell that can be taught directly by a subject matter expert in a way that resembles how the expert would teach a human apprentice when solving problems in cooperation. This paper presents the most recent version of the Discipl...

fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. in this paper, a fuzzy inference system (fis) for diagnosing of acute lymphocytic leukemia in children has been introduced. the fuzzy expert system applies mamdani reasoning model that has high interpretability to explain system results to e...

The main goal of the project is to develop a method and system for posing queries about information contained in texts belonging within a particular domain of knowledge. Hence, the first goal is the creation of a GATE information extraction application to read plain English documents in a particular subject domain, and process the information contained in them into Prolog facts. Then, these fac...

The paper describes several types of efficiency enhancements of 'classical' rule-based diagnostic expert systems. The blackboard control structure enables to explore more knowledge bases of the same syntax in parallel, the taxonomy structures make fast zooming of attention possible and provide additional inference mechanism based on inheritance principles. The applicability of the enhancing tec...