Judgmental-knowledge bases: Problem solving and expert systems

Invention problem solving is connected to essential expenses of labour and time, which is spent on the procedures of search and ordering of necessary knowledge, on generation of probable vari-ants of projected systems, on the analysis of offered ideas and de-cisions and understanding perspectiveness of them. The present article outlines the results of the developments in the field of cre-ating computing technology of the synthesis of new engineering on the level of invention. The most attention is paid to problem of computer aided designing on initial stages, where synthesis of new on principal technical systems is carried out. Computer-aided con-struction of new technical system is based on using of data- and knowledge bases of physical effects and of technical decisions as well as different heuristic systematization procedures. The synthe-sis of principles of function of the technical new systems is carried out with using experts knowledge and requires the application of the artificial intelligence methods and the methods of the deci-sions making theory for invention's tasks. Considered approach has been used for synthesis of new technical systems of different functional purposes and had shown high efficiency in computer-aided construction.

Download Full-text

Fundamentals of creating MIVAR expert systems

10.12737/1513119 ◽

2021 ◽

Author(s):

Oleg Varlamov

Keyword(s):

Artificial Intelligence ◽

Decision Support ◽

Expert System ◽

Expert Systems ◽

Decision Support Systems ◽

Intelligent Systems ◽

Autonomous Robots ◽

Support Systems ◽

Knowledge Bases ◽

Computer Engineering

Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.

Download Full-text

Partitioning and Guided Search: A Generalized Approach to Problem Solving in Preliminary Design

1st International Conference on Design Theory and Methodology ◽

10.1115/detc1989-0005 ◽

1989 ◽

Author(s):

S. Srinivasan ◽

R. H. Allen

Keyword(s):

Problem Solving ◽

Expert Systems ◽

Directed Search ◽

Preliminary Design ◽

Levels Of Abstraction ◽

Guided Search ◽

Structure Information ◽

Design Variables ◽

Minimum Number ◽

Feasible Solutions

Abstract We report on using problem partitioning and constraint-guided search as a generalized approach to problem-solving in preliminary design. Specifically, a generic design template has been created as a tool to structure information to facilitate problem-solving in three different domains. The approach has been tested through the implementation of knowledge-based systems for the preliminary design of mechanical springs, composite sublaminates and expert systems. Information in each implementation has been partitioned as hierarchical levels of abstraction related through constraints. Function identifies the top level design goals to reduce the search involved for feasible solutions. Goal-directed search, driven by the design application and top-down refinement, reduces the number of possible alternatives. The commonalities extant in the domains have been represented as design goals at three levels of abstraction in the design template. Similar frame-based knowledge representations with inheritance hierarchies and mixed reasoning have been developed for the KEE™-based implementations in each domain. Distinctions among the domains have been modelled as low level slots in the frame hierarchy. Parametric studies in the domains of mechanical springs, composite sublaminates and expert systems indicate that the minimum number of decision levels required to characterize the preliminary design process in these domains is three; fewer levels would be insufficient to fundamentally characterize the designs. Further, it is observed hierarchical structuring of design information facilitates capturing the interactions among design variables at different levels of abstraction. By using the template representation and reasoning in other divisible domains, the effectiveness of our approach can be further investigated.

Download Full-text

Mivar databases and rules

10.12737/1508665 ◽

2021 ◽

Author(s):

Oleg Varlamov

Keyword(s):

Artificial Intelligence ◽

Decision Support ◽

Expert System ◽

Expert Systems ◽

Decision Support Systems ◽

Support Systems ◽

Knowledge Bases ◽

Data Models ◽

Active Network ◽

New Model

The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.

Download Full-text

Expert systems utilization in knowledge management

Agricultural Economics (Zemědělská ekonomika) ◽

10.17221/5050-agricecon ◽

2012 ◽

Vol 52 (No. 10) ◽

pp. 451-455 ◽

Cited By ~ 1

Author(s):

V. Vostrovský

Keyword(s):

Knowledge Management ◽

Expert Systems ◽

Knowledge Bases ◽

Business Activity ◽

Multimedia Teaching ◽

Management Knowledge ◽

The Moment

Knowledge and information are the key to successful pursuit of business activity. For the management knowledge, there can be employed among others the expert systems and eLearning. The article provides the expert systems utilization in knowledge management as the expert eLearning component. This solution then makes it possible to preserve the appropriate set of knowledge for a given business activity in knowledge bases and to pass this knowledge in the moment of need in the form of multimedia teaching applications to the appropriate employees.  

Download Full-text

The transfusion medicine tutor: Using expert systems technology to teach domain-specific problem-solving skills

Intelligent Tutoring Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-61327-7_151 ◽

1996 ◽

pp. 521-530 ◽

Cited By ~ 1

Author(s):

Jodi Heintz Obradovich ◽

Philip J. Smith ◽

Stephanie Guerlain ◽

Sally Rudmann ◽

Patricia Strohm ◽

...

Keyword(s):

Problem Solving ◽

Expert Systems ◽

Specific Problem ◽

Transfusion Medicine ◽

Problem Solving Skills ◽

Domain Specific

Download Full-text

Altering the SightPlan knowledge-based systems

Artificial intelligence for engineering design analysis and manufacturing ◽

10.1017/s0890060400002924 ◽

1992 ◽

Vol 6 (1) ◽

pp. 19-37 ◽

Cited By ~ 7

Author(s):

I. D. Tommelein ◽

B. Hayes-Roth ◽

R. E. Levitt

Keyword(s):

Problem Solving ◽

Knowledge Bases ◽

Knowledge Based Systems ◽

Knowledge Domain ◽

Task Knowledge ◽

Knowledge Based ◽

Site Layout ◽

Different Types ◽

Control Knowledge ◽

Construction Site Layout

SightPlan refers to several knowledge-based systems that address construction site layout. Five different versions were implemented and their components of expertise are described here. These systems are alterations of one another, differing either in the problems they solve, the problem-solving methods they apply, or the tasks they address. Because they share either control knowledge, domain concepts, or heuristics, and such knowledge is implemented in well-defined modular knowledge bases, these systems could easily re-use parts of one another. Experiments like those presented here may clarify the role played by different types of knowledge during problem solving, enabling researchers to gain a broader understanding of the generality of the domain and task knowledge that is embedded in KBSs and of the power of their systems.

Download Full-text

Knowledge-acquisition tools with explicit problem-solving models

The Knowledge Engineering Review ◽

10.1017/s0269888900000047 ◽

1993 ◽

Vol 8 (1) ◽

pp. 5-25 ◽

Cited By ~ 8

Author(s):

William Birmingham ◽

Georg Klinker

Keyword(s):

Expert System ◽

Problem Solving ◽

Expert Systems ◽

Knowledge Acquisition ◽

Knowledge Base ◽

Code Generation ◽

System Development ◽

Generalization Error ◽

Domain Experts ◽

The Past

AbstractIn the past decade, expert systems have been applied to a wide variety of application tasks. A central problem of expert system development and maintenance is the demand placed on knowledge engineers and domain experts. A commonly proposed solution is knowledge-acquisition tools. This paper reviews a class of knowledge-acquisition tools that presuppose the problem-solving method, as well as the structure of the knowledge base. These explicit problem-solving models are exploited by the tools during knowledge-acquisition, knowledge generalization, error checking and code generation.

Download Full-text