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Science, 1986
First developed two decades ago, knowledge-based systems have seen widespread application in recent years. While performance has been a strong focus of attention, building such systems has also expanded our conception of a computer program from a black box providing an answer to something capable of explaining its answers, acquiring new knowledge, and ...
Md. Shahriare Satu +6 more
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First developed two decades ago, knowledge-based systems have seen widespread application in recent years. While performance has been a strong focus of attention, building such systems has also expanded our conception of a computer program from a black box providing an answer to something capable of explaining its answers, acquiring new knowledge, and ...
Md. Shahriare Satu +6 more
openaire +3 more sources
Knowledge-Based Recommendation Systems
International Journal of Intelligent Information Technologies, 2014Knowledge-Base Recommendation (or Recommender) Systems (KBRS) provide the user with advice about a decision to make or an action to take. KBRS rely on knowledge provided by human experts, encoded in the system and applied to input data, in order to generate recommendations. This survey overviews the main ideas characterizing a KBRS.
Sarah Bouraga +3 more
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Handbook of Fuzzy Computation, 2020
Deep clustering has attracted increasingly more attention in recent years. However, due to the absence of labels, deep clustering sometimes still provides unreliable clustering results.
Peng Zhou +4 more
semanticscholar +1 more source
Deep clustering has attracted increasingly more attention in recent years. However, due to the absence of labels, deep clustering sometimes still provides unreliable clustering results.
Peng Zhou +4 more
semanticscholar +1 more source
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018
Since the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems published its first issue in 1993, it has made important contributions to the research field of computer scienc...
Wanru Wang +6 more
semanticscholar +1 more source
Since the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems published its first issue in 1993, it has made important contributions to the research field of computer scienc...
Wanru Wang +6 more
semanticscholar +1 more source
ACM SIGCHI Bulletin, 1985
Our research goals are to understand the nature of, construct and evaluate intelligent interfaces as knowledge-based systems. In this paper we demonstrate the need for help systems as an essential part of human-computer communication. Help strategies are based on a model of the task (to understand what the user is doing or which goals he ...
Thomas Schwab +2 more
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Our research goals are to understand the nature of, construct and evaluate intelligent interfaces as knowledge-based systems. In this paper we demonstrate the need for help systems as an essential part of human-computer communication. Help strategies are based on a model of the task (to understand what the user is doing or which goals he ...
Thomas Schwab +2 more
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Knowledge-Based Systems Research [PDF]
, 1990 Abstract : Knowledge-Based Systems Research covers research on the following topics: Blackboard model of problem solving; constraint satisfaction; machine learning and knowledge acquisition; symbolic simulation; logic-based systems with self-awareness; SOAR, an architecture for general intelligence and learning; software design by redesign.
Edward A. Feigenbaum +2 more
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Knowledge-based system for rostering
Expert Systems with Applications, 1993Abstract Scheduling problems are commonly found in servicing and manufacturing industries. In order to maximize the utilization of the supporting hardware and machines, machine operators usually are required to work on shift so that machines remain running continuously without stopping.
Chow, KP, Hui, CK
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Constructing knowledge-based systems
IEEE Software, 1993Vital, a four-and-a-half-year ESPRIT II research and development project that involves nine organizations in five countries is discussed. It addresses the problems of effective process modeling for knowledge-based systems, providing guidelines on when to use various knowledge-engineering methods and techniques, and reducing the bottleneck in acquiring ...
Shadbolt, N. R., Motta, E., Rouge, A.
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, 2000 The phrases knowledge-based systems and expert systems are often used in the broad sense of systems whose main components are a set of production rules and an inference engine that fires these rules nondeterministically. However, this definition is much too narrow: it excludes a large number of expert systems that are not rule-based, e.g., systems that
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