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An Advanced System for Knowledge Representation and Reasoning
An Advanced System for Knowledge Representation and Reasoning

... – Declarative problem solving following a “Guess&Check” paradigm [5] where a solution to a problem is guessed by one part of a program and then verified through another part of the program. – A number of front-ends for dealing with specific AI applications. Solid Implementation. Much effort has been ...
An Advanced System for Knowledge Representation and Reasoning
An Advanced System for Knowledge Representation and Reasoning

... – Declarative problem solving following a “Guess&Check” paradigm [5] where a solution to a problem is guessed by one part of a program and then verified through another part of the program. – A number of front-ends for dealing with specific AI applications. Solid Implementation. Much effort has been ...
Kære kollegaer,
Kære kollegaer,

... Human experts are able to solve problems at a high level because they exploit knowledge about their area of expertise. This fact provided the background for the design of programs with expert-based problem solving capabilities. An expert system, which such a program is often called, uses specific kn ...
Overview of AI Research History in USSR and Ukraine - HAL
Overview of AI Research History in USSR and Ukraine - HAL

... It is followed by a description of the General Knowledge Machine Group research work, based on the previous experience and a new insight. It represents an original approach to knowledge presentation and learning developed in Kiev, Ukraine. Excerpts and pictures from Website called “Development of Co ...
what is knowledge management?
what is knowledge management?

... • Knowledge divided into discrete systems of thought • Invoke problem of incommensurability • ‘Situated knowledge’ in terms of power relations forwarded by feminists • Problems of white, western, heterosexual male in research • Certain positions are advantageous over others • Research by white males ...
System Intelligence, Knowledge Systems and Darwin
System Intelligence, Knowledge Systems and Darwin

... emphasize that like individual persons, also communities have their models that enable the anticipation. These need not necessarily be only mental, but can be partially explicit data structures, forecast methods, written statements, etc. Internal models are not limited to anticipating events and dev ...
Intelligent Systems - Teaching-WIKI
Intelligent Systems - Teaching-WIKI

... solving the task of parametric design. (see more details in [14]) • The method dependes on the following inferences: – propose – derives an initial design based on the requirements; – C-test – requires knowledge that describes which possible designs are valid (i.e., the domain constraints); – revise ...
ADVANCED KNOWLEDGE MANAGEMENT
ADVANCED KNOWLEDGE MANAGEMENT

... KM infrastructure is the foundation on which KM resides. Organization culture and organization structure are two of its main components. Organizational Culture reflects the norms and beliefs that guide the behavior of the organization’s members. It is an important enabler of KM in organizations. A s ...
Case-Based Reasoning Special Track on
Case-Based Reasoning Special Track on

... Case-based reasoning (CBR) is an artificial intelligence problem solving and analysis methodology that retrieves and adapts previous experiences to fit new contexts. In CBR systems, expertise is embodied in a library of past cases, rather than being encoded in classical rules. A new problem is solve ...
New Frontier in Informatics and Systems
New Frontier in Informatics and Systems

... many intermixed signals is the key to highperformance digital communications. ...
Intelligent Systems - Teaching-WIKI
Intelligent Systems - Teaching-WIKI

... [5] Newell, A. “The Knowledge Level”, AI Magazine 2 (2), 1981, p. 1-20. [6] Rosenblatt, F. “Strategic Approaches to the Study of Brain Models” In: Förster, H.: Principles of Self-Organization. Elmsford, N.Y.: Pergamon Press, 1962. [7] Russell, S., Wefald, E. H. "Do the Right Thing: Studies in Limite ...
Cognitive Science: The Newest Science of the Artificial
Cognitive Science: The Newest Science of the Artificial

... when the environments are correspondingly different. Intelligent systems are what they are from being ground between the nether millstone of their physiology or hardware, which sets inner limits on their adaptation, and the upper millstone of a complex environment, which places demands on them for c ...
View/Open
View/Open

... or if DSR is applicable. Although DSR can go beyond creating a prototype or improvement by providing new knowledge, to force its use may not help the outcome. In this specific agent research the use of DSR is valuable in order to take the IT artifact into operations. The intelligent agent processing ...
Sborník vědeckých prací Vysoké školy báňské
Sborník vědeckých prací Vysoké školy báňské

... Information and data are not to be confused with knowledge itself, but they are strongly relevant to the application of the knowledge. For instance, a diagnostic system needs expert knowledge and the data concerning the problem to be diagnosed. In some knowledge-based systems, we make distinctions ...
System
System

... expert systems : programming computers to make decisions in real-life situations (for example, some expert systems help doctors diagnose diseases based on symptoms) natural language : programming computers to understand natural human languages neural networks : Systems that simulate intelligence by ...
Modeling and Forecasting the Information Sciences
Modeling and Forecasting the Information Sciences

... performance increase. Exponential growth is common in many technologies, but never over more than two decades and then in periods of the order of 100 years rather than 10. Computer technology is unique in being based on underlying devices whose performance has increased at a rate and over a range ac ...
Knowledge Representation in Artificial Intelligence using
Knowledge Representation in Artificial Intelligence using

... intelligent system. The objective of this research work is to present the Effective/Appropriate knowledge representation technique for representing the general knowledge and a reasoning algorithm so that appropriate knowledge can be infer from the system. The architecture of Knowledge Representation ...
artificial intelligence: engineering, science, or slogan?
artificial intelligence: engineering, science, or slogan?

... problems. perception of AI if we form a similar combination based on propositional formalisms, rather than on conventional mathematics. Thus, AI seeks to express knowledge by using propositional formalisms, representing them as a computer data structures that can be manipulated flexibly and efficien ...
Extending Data Processing Capabilities of Relational Database
Extending Data Processing Capabilities of Relational Database

... implement. To overcome these problems, several methods have been developed. Data can be processed by a client application (a client-side processing) or by a RDBMS server (a server-side processing). These methods overcome the main limitations, but such solutions are not flexible, hard to modify or al ...
PowerPoint - Sergio Pissanetzky
PowerPoint - Sergio Pissanetzky

... ● it requires no domain-specific knowledge ● it is not man-made ● it is ready for use in computers ...
Turning Artificial Intelligence into Business Value. Today.
Turning Artificial Intelligence into Business Value. Today.

... Artificial Intelligence systems also comprehend through technologies such as natural language processing, inference engines and expert systems. These technologies have a wide range of applications across multiple industries. For example, a medical diagnostic system can help doctors identify diseases ...
Implementation of parallel Optimized ABC Algorithm
Implementation of parallel Optimized ABC Algorithm

... present system can be treated as quite effective; in most of the cases it finds a ...
2 Components of Information Technology
2 Components of Information Technology

... Techniques Search and selection of experts Experts Decision makers ...
Computational Intelligence Approaches for Student/Tutor
Computational Intelligence Approaches for Student/Tutor

... equally not surprising to see how the use of ontology is recently gaining popularity. The data mining techniques too appear to be pairing well recently, the use of such techniques like machine learning; association rule mining is equally getting stronger in these aspects of student/tutor modeling. T ...
Knowledge representation
Knowledge representation

... and accordingly the field is sometimes referred to as the theory of knowledge. The main problems considered in epistemology are:  What is knowledge?  Is genuine knowledge attainable at all?  What are the limits of knowledge?  From what faculties of the mind does knowledge originate?  Which meth ...
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Expert system



In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert.Expert systems are designed to solve complex problems by reasoning about knowledge, represented primarily as if–then rules rather than through conventional procedural code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of AI software.An expert system is divided into two sub-systems: the inference engine and the knowledge base. The knowledge base represents facts and rules. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging capabilities.
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