What are current applications of expert systems
An expert system (XPS) is a computer-aided planning system, i.e. a software system that has the knowledge of experts in a certain (delimited) problem area (knowledge domain) and is able to apply this knowledge to solve problems. It is also known as a knowledge-based system and represents an important area of research on artificial intelligence.
Areas of application
Expert systems can be used in different areas. So they are suitable for:
- the interpretation (interpretation systems), i.e. the evaluation or analysis of information, e.g. operational data (data analysis), acoustic (speech processing) and optical information (image processing);
- the diagnosis of system states (diagnostic systems), i.e. the determination of error states and their causes in technical systems (e.g. data processing systems and networks, vehicle engines) and in biological systems (e.g. medical diagnosis);
- the construction of certain objects according to given specifications (construction systems), e.g. draft (design) of a construction plan with the help of CAD systems;
- the planning of action sequences, e.g. when using robots, in production control or in business planning (planning systems in sales, in procurement and warehousing, in production and logistics);
- advice (advisory systems), e.g. in business planning (e.g. financial investments, investment decisions) and
- tutoring (tutoring systems), i.e. systems of teaching and learning (e-learning systems).
- Expert systems are computer-aided planning, analysis and construction systems (problem-solving systems);
- are interactive program systems;
- relate to a delimited sub-area of human knowledge, e.g. in the operational area in production or in logistics;
- use not only factual and rule-based knowledge, but also heuristics and vague knowledge to solve problems;
- derive problem solutions from conclusions from stored knowledge (logical information processing);
- are particularly suitable for working on "diffuse" areas of application that are characterized by fuzzy and incomplete knowledge (unstructured problem areas);
- simulate the work of human experts;
- guide the user through "natural language" dialogue;
- explain their approach and the derived results;
- show "intelligent" behavior in problem solving and
- are capable of learning.
An expert system is not a monolithic unit, but can be explained by functional components. In addition to the two core components, the knowledge base (contains the knowledge of the problem area) and the inference component (problem-solving component for the logical derivation of solutions), it has a dialogue and explanatory component. A knowledge acquisition component is required to set up and update the knowledge base. A learning component that can understand the ability to learn and thus automatically expand and improve the knowledge base is also desirable. In addition to the necessary integration into the DP system, interfaces to application systems, such as B. to database systems and also to other expert systems, makes sense.
The performance potential of the expert systems lies primarily in problem solving on the one hand and in the ability to dialogue and explain on the other. A wide variety of forms of knowledge representation can be used to solve problems, such as rules, frames and objects. Inference processes and search strategies are used to find solutions.
Areas of application
In addition to the use of expert systems in operational application areas, e.g. in procurement, production, sales and human resources, the systems are of great strategic importance. Expert systems or knowledge-based systems serve to systematically process and secure the existing knowledge of a company (knowledge retention), to distribute it (knowledge multiplication) and to make it available at the right time in the right place. The systems are therefore important and powerful tools for operational knowledge management.
Gabriel, Roland: Knowledge-based systems in operational practice. London: McGrawHill, 1992.
Harmon, Paul; King, David: Expert Systems in Practice. Perspectives, tools, experiences. 3. Edition. Munich: Oldenbourg, 1989.
Mertens, Peter; Borkowski, Volker; Geis, Wolfgang: Operational expert system applications. 3. Edition. Berlin et al .: Springer, 1993.
Prof. Dr. Roland Gabriel, Ruhr University Bochum, Chair for Information Systems, Universitätsstrasse 150, 44780 Bochum
- How long does a background check take
- Does language influence society
- What caused the rise of militant Islam
- Financial interest is completely forbidden in Islam
- Why is the citizenship issue so controversial
- Why is marriage important in life
- North Koreans eat kimchi
- How do i make a punjabi friend
- What is your current wealth
- How people cheat retail stores
- What is the richest city in Yemen
- How can a student be laid
- What are the disadvantages of MoneyGram
- Why doesn't Victoria's Secret sell men's underwear?
- Should cars be given to young teenagers
- How do I get into mega systems
- Most people in white countries are racist
- Which Chinese emperor had the largest harem?
- How is life more important than love
- How do we find our perfect partner
- How does Nextdoor generate revenue
- What is brick bat concrete cement
- Which main subjects belong to the STEM training
- What is corporate accounting