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Safety supervisory systems continue to increase in degree of automation and complexity as operators are decreasing. As a result, each operator must be able to comprehend and respond to an ever increasing amount of available risky status and alert information. They generally have no difficulty in performing their tasks physically but they are stressed by the task of understanding what is going on in...
One of the most important challenges in the field of human-computer interaction, is maintaining and enhancing the willingness of the user to interact with the technical system. This willingness to cooperate provides a solid basis which is needed for a collaborative human-computer dialogue. This paper investigates how the intelligibility of a technical system can be upheld by providing explanations...
This paper introduces definition of machine learning and the basic structure, describes a variety of machine learning methods, compares and analyzes their advantages and their limitations, introduces the main research areas of machine learning, especially introduces technological application of machine learning methods.
The purpose of this study was to develop an Expert System (ES) to evaluate Nuclear Power Plant (NPP) operators. The study included a review of the Artificial Intelligence (AI) literature relevant to the NPP and human resource management, knowledge acquisition, knowledge representation, knowledge encoding, and Inference engine. An expert system development tool FuzzyCLIPS6.1 was used to develop a fuzzy...
Interaction of human and computer agents should be harmonized by adapting the automation level of the IT systems to maintain a high performance for the system in changing environmental conditions. This research presents an expert system for the realization of adaptive autonomy (AA), using Petri Net (PN), referred to as AAPNES, based on practical list of environmental conditions and superior experts'...
To promote the application of web-based expert system, the significance of the construction of the web-based expert system was introduced, the principles and methods were explained, and the latent problem was discussed, the tendency was also analyzed.
This paper presents a developed ontology-based intelligent agent in Monte-Carlo Tree Search (MCTS) for the computer Go application. Unlike previous research, this paper employs features derived from professional Go players' domain knowledge to transform them into the opening-book sequence and represent them by a computer Go ontology. Afterward, the domain experts validate the built ontology. The developed...
On purpose of improving the research in extension intelligence systems when the knowledge in hand is not sufficient, an extension intuition model (EIM) based on human-computer cooperative is presented. From the initial intuition process space defined by the primitive experience, a series of interactive experience learning systems (IELS) with various reductive levels are created. For, each IELS, the...
This paper describes a co-evolutionary algorithm for generating simple spatially oriented tactics and considers whether students can learn better by playing against co-evolved opponents or by playing against an expert system or other similar hard-coded opponent. Although a number of artificially intelligent tutoring and e-learning systems exist, our work looks at using co-evolution to generate competent...
Based on the theoretical research and actual developing status of artificial intelligence and expert system, this paper discusses several issues in the development of criminal investigation expert systems (CIESs). In particular, we focus on an extension decision support system (EDSS) which employs domain knowledge of recidivism in the crime analysis system. Using the elicited domain knowledge, the...
AI has always been on the pioneering end of computer cience. This talk outline presents an overview of AI, by summarizing its historical development, family , as well as some representative projects additional materials are linked in the text.
Based on the theoretical research and actual developing status of artificial intelligence and expert system, this paper discusses several issues in the development of criminal investigation intelligent system. Research shows that knowledge Mapping-intuition Inversion Principle (KMIIP) is an important tool to develop intelligent system. It is indicated in this paper that the combination of the interactive...
In this paper the application effect of fuzzy expert system for diagnosis of computer failures is considered. We propose to define different modes of CS failures by classification characters.
Computer science has opened up a new era in which brainpower is augmented by electronics the way musclepower was amplified by the machines of the Industrial Revolution (5). Process control technology has changed dramatically over the past three decades, evolving from Salazar's supervisory set point and direct digital control to the microprocessor based distributed systems in common use today. The...
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