Study on the System Design of Multiple Expert Systems Integrated Decision Support System

There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.

The Curious Case of a Robot Doctor： ＂Human,＂ Labor and Expert Systems

While Amazon Mechanical Turk project refreshes the long-term dream of artificial intelligence by incorporating human beings into the automation of information circuits, it also calls attention to the role of technical platforms in reorganizing the division and mode of labor under the current information capitalism. This essay examines this transformed labor regime by outlining the discourses and imaginaries of Artificial Intelligence （AI） in late 197os and 198os China when expert systems-an artificial intelligence system designed to provide expert consultation in the absence of human experts-first appeared. I argue that these discourses and imaginaries surrounding expert systems were tied to the anticipation of a coming information society, and to the fetish of expert knowledge, and a shift from Mao＇s class-based politics to a depoliticized realm of professionalism. Bringing together the material, technical development of AI, the intellectual discourse of Post-Mao 1980s, as well as the imaginary domain of science fiction, this essay rethinks the politics of the ＂human＂ in the social context of Post-Mao＇s era. Keywords expert systems, labor, the interface, professionalism, depoliticization

Study on Missile Intelligent Fault Diagnosis System Based on Fuzzy NN Expert System

In order to study intelligent fault diagnosis methods based on fuzzy neural network (NN) expert system and build up intelligent fault diagnosis for a type of missile weapon system, the concrete implementation of a fuzzy NN fault diagnosis expert system is given in this paper. Based on thorough research of knowledge presentation, the intelligent fault diagnosis system is implemented with artificial intelligence for a large-scale missile weapon equipment. The method is an effective way to perform fuzzy fault diagnosis. Moreover, it provides a new way of the fault diagnosis for large-scale missile weapon equipment.

Application of Petri Net to Fault Diagnosis in Satellite

A prototype of fault diagnosis based on Petri net, which is developed for a satellite tele-control subsystem, is introduced in this paper. Its structure is first given with the emphasis on a Petri net modeling tool which is designed using the object oriented method. The prototype is connected to the database with DAO (Date Access Object) technique, and makes the Petri net's firing mechanism and its analyzing methods to be packed up as DLL (Dynamic Link Library) documents. Compared with the rule-based expert system method, the Petri net-based one can store the knowledge in mathematical matrix and make inference more quickly and effectively.

What Do Educators Need to Teach for Prospective Knowledge Engineers?

As expert systems technology has matured and migrated into mainstream computing, there arestill areas which are overlooked in education prospective knowledge engineers. This paper addresses this issue, and provides a message to educators that expert and knowledge-based systems should be an importantstrategic science and technology for many organizations.

Isomorphic Transformations of Uncertaintiesfor Incorporating EMYCIN-Style andPROSPECTOR-Style Systems intoa Distributed Expert System

In the past, expert systems exploited mainly the EMYCIN modeland the PROSPECTOR model to deal with uncertainties. In other words, a lot ofstand-alone expert systems which use these two models are available. If we can usethe Internet to couple them together, their performance will be improved throughcooperation. This is because the problem-solving ability of expert systems is greatlyimproved by the way of cooperation among different expert systems in a distributedexpert system. Cooperation between different expert systems with these two het-erogeneous uncertain reasoning models is essentially based on the transformations ofuncertainties of propositions between these two models. In this paper, we discoveredthe exactly isomorphic transformations uncertainties between uncertain reasoningmodels, as used by EMYCIN and PROSPECTOR.

Development of Simulated Testbed for Electrical Power Subsystem of a Certain Kind of Satellite

In order to testify and examine the ability and correctness of an expert system for diagnosing the faults in the electrical power system of a certain kind of satellite, the authors have developed a simulated testbed according to the operational principle of the electrical power system. This paper takes the solar battery array as an instance to introduce the designing principle of its hardware circuits, and presents the methods to design the interface and the software program of the single-chip microprocessor system. The software scheme of the upper computer is introduced at the end of this paper. It has been proved that this simulated system could effectively achieve the complete functions coupled with the simple design by using of various mature techniques in the fields of electronic circuits, single-chip microprocessor and numerical emulation.

Study on the Integration of Decision Support System with Multiple Expert Systems

This paper is aimed at designing an integrated framework of DSS with multiple ESs to enhance decision makers’ability in more complex cases.The basic intedrated frameword,knowledge organization and management of multiple ESs system (MESS),are presented.The following aspects:combing opinions form multiple ESs,problem-based model integration,and inconsistency processing among multiple ESs are emphatically doscissed. Finally,a summary and some ideas for the future are even.

Intelligent Interfaces: Pedagogical Agents and Virtual Humans

Little by little, we are entering the new era, intelligent interfaces are absorbing us more and more every day, and artificial intelligence makes its presence in a stealthy way. Virtual humans that represent an evolution of autonomous virtual agents;they are computer programs and in the future capable of carrying out different activities in certain environments. They will give the illusion of being human;they will have a body, and they will be immersed in an environment. They will have a set of senses that will allow them: 1) Sensations and therefore associated expressions;2) Communication;3) Learning;4) Remembering events, among others. By integrating the above, they will have a personality and autonomy, so they will be able to plan with respect to objectives;allowing them to decide and take actions with their body, in other words, they will count on awareness. The applications will be focused on environments that they will inhabit, or as interfaces that will interact with other systems. The application domains will be multiple;one of them being education. This article shows the design of OANNA like an avatar with the role of pedagogical agent. It was modeled as an affective-cognitive structure related to the teaching-learning process linked to a pedagogical agent that represents the interface of an artilect. OANNA, has the necessary animations for intervention within the teaching-learning process.

A real-time abnormal operation pattern detection method for building energy systems based on association rule bases

Expert systems are effective for anomaly detection in building energy systems.However,it is usually inefficient to establish comprehensive rule bases manually for complex building energy systems.Association rule mining is available to accelerate the establishment of the rule bases due to its powerful capability of discovering rules from numerous data.This paper proposes a real-time abnormal operation pattern detection method towards building energy systems.It can benefit from both expert systems and association rule mining.Association rules are utilized to establish association rule bases of abnormal and normal operation patterns.The established rule bases are then utilized to develop an expert system for real-time detection of abnormal operation patterns.The proposed method is applied to an actual chiller plant for evaluating its performance.Results show that 15 types of known abnormal operation patterns and 11 types of unknown abnormal operation patterns are detected successfully by the proposed method.

Expert System Realization for Conceptual Design of Mechanical Products under CIMS Environment

In CAD/CAM integration, the source information must be produced from the conceptual design of product. A gear box conceptual design expert system for planomilling machines was developed which solved the problemof information integration from conceptual design to detail design.The problem-solving model for the conceptual design of mechanical products is discussed.The system architecture and the function of the main modules are described. The basic structure for the object-oriented knowledge representation and its formalizsd representation arediscussed in detail. Finally, implementation of the scheme layout and its control flow chart are explored using several samples.

Implementation of Dynamic Imagine and Hypertext in Expert System

The paper presents three aspects of implementation of dynamic imagine and Hypertext in expert systems.First,we design the man-machine interface by using Dynamic Imagine to improve flekibilities of receiving data.Secondly, we focus on how to make use of the dynamic to develop the attificial ability of expert systems. Finally,we use hypertext to build the objective data structure as the base of the production of subjective data.

Evaluation of the situational awareness effects for smart distribution networks under the novel design of indicator framework and hybrid weighting method

As a key application of smart grid technologies,the smart distribution network(SDN)is expected to have a high diversity of equipment and complexity of operation patterns.Situational awareness(SA),which aims to provide a critical visibility of the SDN,will enable a significant assurance for stable SDN operations.However,the lack of systematic evaluation through the three stages of perception,comprehensive,and prediction may prevent the SA technique from effectively achieving the performance necessary to monitor and respond to events in SDN.To analyze the feasibility and effectiveness of the SA technique for the SDN,a comprehensive evaluation framework with specific performance indicators and systematic weighting methods is proposed in this paper.Besides,to implement the indicator framework while addressing the key issues of human expert scoring ambiguity and the lack of data in specific SDN areas,an improved interval-based analytic hierarchy process-based subjective weighting and a multi-objective programming method-based objective weighting are developed to evaluate the SDN SA performance.In addition,a case study in a real distribution network of Tianjin,China is conducted whose outcomes verify the practicality and effectiveness of the proposed SA technique for SDN operating security.

Computer Aided Design System for Developing Musical Fountain Programs

A computer aided design system for developing musical fountain programs was developed with multiple functions such as intelligent design, 3-D animation, manual modification and synchronized motion to make the development process more efficient. The system first analyzed the music form and sentiment using many basic features of the music to select a basic fountain program. Then, this program is simulated with 3-D animation and modified manually to achieve the desired results. Finally, the program is transformed to a computer control program to control the musical fountain in time with the music. A prototype system for the musical fountain was also developed. It was tested with many styles of music and users were quite satisfied with its performance. By integrating various functions, the proposed computer aided design system for developing musical fountain programs greatly simplified the design of the musical fountain programs.

The study of artificial intelligence for predicting land use changes in an arid ecosystem

During the 21 st century,artificial intelligence methods have been broadly applied in geosciences to simulate complex dynamic ecosystems,but the use of artificial intelligence(AI)methods to reproduce land-use/cover change(LUCC)in arid ecosystems remains rare.This paper presents a hybrid modeling approach to understand the complexity in LUCC.Fuzzy logic,equation-based systems,and expert systems are combined to predict LUCC as determined by water resources and other factors.The driving factors of LUCC in this study include climate change,ecological flooding,groundwater conditions,and human activities.The increase of natural flooding was found to be effective in preventing vegetation degradation.LUCCs are sensitive under different climate projections of RCP2.6,RCP4.5,and RCP8.5.Simulation results indicate that the increase of precipitation is not able to compensate for the additional evaporation losses resulting from temperature increases.The results indicate that grassland,shrub,and riparian forest regions will shrink in this study area.The change in grasslands has a strong negative correlation with the change in groundwater salinity,whereas forest change had a strong positive correlation with ecological flooding.The application of artificial intelligence to study LUCC can guide land management policies and make predictions regarding land degradation.

Formalizing Default Reasoning

Fuzzy set systems can be used to solve the problem with uncertain knowledge, and default logic can be used to solve the problem with incomplete knowledge, in some sense. In this paper,based on interval-valued fuzzy sets we introduce a method of inference which combines approximate reasoning and default logic,and give the procedure of transforming monotonic reasoning into default reasoning.

The Land- Potential Knowledge System (LandPKS): mobile apps and collaboration for optimizing climate change investments

Massive investments in climate change mitigation and adaptation are projected during coming decades.Many of these investments will seek to modify how land is managed.The return on both types of investments can be increased through an understanding of land potential:the potential of the land to support primary production and ecosystem services,and its resilience.A Land-Potential Knowledge System(LandPKS)is being developed and implemented to provide individual users with point-based estimates of land potential based on the integration of simple,geo-tagged user inputs with cloud-based information and knowledge.This system will rely on mobile phones for knowledge and information exchange,and use cloud computing to integrate,interpret,and access relevant knowledge and information,including local knowledge about land with similar potential.The system will initially provide management options based on long-term land potential,which depends on climate,to-pography,and relatively static soil properties,such as soil texture,depth,and mineralogy.Future mod-ules will provide more specific management information based on the status of relatively dynamic soil properties such as organic matter and nutrient content,and of weather.The paper includes a discus-sion of how this system can be used to help distinguish between meteorological and edaphic drought.

Modeling and Solving Material Resources Allocation and Distribution with OR-Based and AI-Guided Method

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