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Knowledge in Artificial Intelligence Systems: Searching the Strategies for Application

Alla A. Kornienko, Anatoly V. Kornienko, Oleg B. Fofanov, Maxim P. Chubik
2015 Procedia - Social and Behavioral Sciences  
Expert systems are interpreted as a kind of intelligent systems; different ways to represent knowledge (such as logical model, frame-based and production systems, semantic networks) are described within  ...  The presentation of knowledge is stated to be the methodology for modeling and formalization of conceptual knowledge in the field of engineering.  ...  These systems are able to form automatically the concepts for expert systems.  ... 
doi:10.1016/j.sbspro.2014.12.578 fatcat:cskr32ilorh5bbc3z2zi4gmjce

Expert Systems Based on Object Model — An Approach to Deep Knowledge Systems [chapter]

H. Ueno, Y. Oomori
1991 Advances in Computer Technology and Applications in Japan  
The object model can be represented in an extended frame-based knowledge representation formalism by means of a combination of ISA and PART-OF relations.  ...  Knowledge engineering environment ZERO has been developed based on this concept and has been used for developing a variety of problem solving systems.  ...  The deep knowledge systems are expected to solve both kinds of problems just like human experts using the same knowledge.  ... 
doi:10.1007/978-3-642-84514-7_4 fatcat:mp5iilkpc5dzzk53oevbjwahqi

Expert Systems as the Basis of Decisions in the Knowledge Society

Svetlana Kvesko, Anna Kornienko, Bronislav Kvesko, Nataliya Chicherina, E. Siemens, A.D. Mehtiyev, V.I. Syryamkin, A.V. Yurchenko
2018 MATEC Web of Conferences  
Using innovations solves the problem of prediction of generated knowledge. An innovation system is able to initiate transformations in the knowledge system.  ...  The paper discusses the intelligent information systems as expert systems to meet the challenges of management in the knowledge society.  ...  The intelligent systems are crucial for using the weakly formalized knowledge of the specialists with great and invaluable practical experience. Expert systems are the type of intelligent systems.  ... 
doi:10.1051/matecconf/201815501009 fatcat:tzqpeqtptnbmhonz4wzqydcwaq

The role of frame-based representation in reasoning

Richard Fikes, Tom Kehler
1985 Communications of the ACM  
The authors thank Bob Nado for contributions to the section on frames as a foundation for production-rule systems, and Ron Brachman, Jack Dynis, and Blob Filman for valuable comments on early drafts of  ...  The advantages of frame languages are considerable: They capture the way experts typically think about much of their knowledge, provide a concise structural representation of useful relations, and support  ...  This capability makes it easier for the domain expert to construct and understand rules, and for the system designer to control when and for what purpose particular collections of rules are used by the  ... 
doi:10.1145/4284.4285 fatcat:wmm7fsnejzd4pmfzaeagbhoufa

Qualitative Reasoning in Electronic Fault Diagnosis

Padraig Cunningham
1987 International Joint Conference on Artificial Intelligence  
Both deep and shallow knowledge are used in the diagnostic process. The system is developed in KEE from Intellicorp so the main knowledge representations are rules and frames.  ...  This paper describes some work in progress aimed at developing an expert system for fault diagnosis on switching mode power supplies.  ...  At present the system is implemented in KEE so the main knowledge representations arc frames and rules.  ... 
dblp:conf/ijcai/Cunningham87 fatcat:ykxfo3e7n5bzlignl4nf52ssn4

The knowledge level reinterpreted: Modeling how systems interact

William J. Clancey
1989 Machine Learning  
, physical processes of an isolated system; 3) modeling intelligent behavior is fraught with frame-of-reference confusions, requiring that we tease apart the roles and points of view of the human expert  ...  systems in the world (not replicating how people think--a matter for psychology); 2) knowledge-level analysis is how observers describe and explain the recurrent behaviors of a situated system, that is  ...  Second generation expert systems separate out and make explicit the two processes that are modeled in every expert system: a model of some system in the world (the domain, e.g., a model of an electronic  ... 
doi:10.1007/bf00130715 fatcat:lkjno7qn25c25nl4hlbqmaogzi

Expert Systems Based on Object Model
対象モデルに基づくエキスパート・システム

Haruki UENO, Yasumasa OOMORI
1991 GEOINFORMATICS  
The key points of the object model-based knowledge system are that 1)representation of knowledge and interpretation of it are separated from each other so that the representation could be used for solving  ...  The system was developed using the frame-based knowledge engineering environment ZERO.  ...  We need a knowledge modeling scheme which allow us to use a knowledge base for multiple purposes in shared use. From observation of expert engineers'tasks, we can obtain useful hints.  ... 
doi:10.6010/geoinformatics1990.2.2_97 fatcat:ua6nwnqj3nhb5nxmepop2vrexm

Artificial Intelligence Research at NASA Langley Research Center

Nancy Orlando, Kathy H. Abbott, James Rogers
1984 The AI Magazine  
Another research project in this area involves the use of a simulation model of a physical system to generate the knowledge base for fault diagnosis of that system.  ...  Current expert systems technology is insufficient for this application, because the flight domain consists of dynamic physical systems and must respond in real time.  ... 
dblp:journals/aim/OrlandoAR84 fatcat:4457fmiafbh6bdonrvzehanmfi

KRITON: a knowledge-acquisition tool for expert systems

Joachim Diederich, Ingo Ruhmann, Mark May
1987 International Journal of Man-Machine Studies  
A hybrid system for automatic knowledge acquisition for expert systems is presented.  ...  The goal structure of the knowledge elicitation methods is an intermediate knowledge-representation language on which frame, rule and constraint generators operate to build up the final knowledge bases  ...  Moreover, it can be used for the generation of various knowledge bases for different expert system shells and knowledge-representation systems taking advantage of the facilities of interactive knowledge-base  ... 
doi:10.1016/s0020-7373(87)80033-0 fatcat:pt4urbuyz5czddpd6eafpidfsa

Page 202 of American Society of Civil Engineers. Collected Journals Vol. 11, Issue CP3 [page]

1997 American Society of Civil Engineers. Collected Journals  
The proposed expert system is intended to identify potential applications for distinct types of residual waste.  ...  in the expert system There are several paradigms that can be used to represent knowledge.  ... 

A two-layer model for behavior and dialogue planning in conversational service robots

M. Nakano, Y. Hasegawa, K. Nakadai, T. Nakamura, J. Takeuchi, T. Torii, H. Tsujino, N. Kanda, H.G. Okuno
2005 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems  
for performing certain kind of tasks by performing physical actions and engaging in dialogues.  ...  It has two layers; the upper layer is responsible for global task planning using hierarchical planning and the lower layer engages in local planning by utilizing modules called experts, which are specialized  ...  For understanding human requests in relatively simple domains, frame-based representations for dialogue states are often used for mixed-initiative dialogues [14] , [15] .  ... 
doi:10.1109/iros.2005.1545198 dblp:conf/iros/NakanoHNNTTTKO05 fatcat:4vnvlkpj6ffa7pep6olx4oc5xm

Applications Development Using a Hybrid Artificial Intelligence Development System

John C. Kunz, Thomas P. Kehler, Michael D. Williams
1984 The AI Magazine  
Argument for Hybridization This article describes our initial experience with building applications programs in a hybrid THE AI MAGAZINE Fall 1984 41  ...  Frames, or schemas, are very useful for focusing on representation of objects, and they are useful for representing associations of features of objects (Anderson, 1979) .  ...  Thus, when integrated with frames, rules give a very general way for defining arbitrary semantic relations in a frame-based representation system.  ... 
dblp:journals/aim/KunzKW84 fatcat:5aqewrz32fc7vp23sg2shytx4m

Page 25 of The Information Management Journal Vol. 28, Issue 3 [page]

1994 The Information Management Journal  
9 Frame-Based Representation Frame-based representation is another way of structuring knowl- edge for use by an expert system.  ...  This type of representation is very useful when the expert system is to handle a large amount of facts or data.  ... 

Hybrid Systems for Knowledge Representation in Artificial Intelligence

Rajeswari P.V, Dr. T.
2012 International Journal of Advanced Research in Artificial Intelligence (IJARAI)  
In an effort to construct an intelligent computer system, a primary consideration is to represent large amounts of knowledge in a way that allows effective use and efficiently organizing information to  ...  There are few knowledge representation (KR) techniques available for efficiently representing knowledge. However, with the increase in complexity, better methods are needed.  ...  KANDOR has been used as the knowledge representation component of ARGON [10] , which is an interactive information retrieval system which is designed to be used by non experts for retrieval purpose over  ... 
doi:10.14569/ijarai.2012.010806 fatcat:2xstwrasnvazbew6t6w4dtsfze

Knowledge-Based Systems

Bruce G. Buchanan, Daniel Bobrow, Randall Davis, John McDermott, Edward H. Shortliffe
1990 Annual Review of Computer Science  
environments that are useful, and for most purposes necessary, for the construction of a practical knowledge-based system.  ...  Smith will discuss a number of formalisms for knowledge representation and inference that have been developed to aid in this process.  ...  Expert-level performance on narrow problems REPRESENTATION AND REASONING How to conceptualize and encode the knowledge How to use the knowledge DESIDERATA FOR GOOD REPRESENTATIONS Good representations  ... 
doi:10.1146/annurev.cs.04.060190.002143 fatcat:wjohxyqod5ddbezrtuko35wv74
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