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Psychology of knowledge representation
WIREs Cognitive Science, 2014AbstractEvery cognitive enterprise involves some form of knowledge representation. Humans represent information about the external world and internal mental states, like beliefs and desires, and use this information to meet goals (e.g., classification or problem solving).
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Diagrammatic knowledge representation
IEEE Transactions on Systems, Man, and Cybernetics, 1992Diagrams are used to facilitate problem solving in engineering, physics, geology, and other scientific areas. Diagrams store related elements adjacents to each other. For instance, it can be easily seen from a map that Iowa and Illinois are adjacent states, since they are placed next to each other.
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Knowledge Representation and Management in ACTIVEMATH
Annals of Mathematics and Artificial Intelligence, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
null The ACTIVEMATH group +5 more
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Representations of metabolic knowledge.
Proceedings. International Conference on Intelligent Systems for Molecular Biology, 1995Construction of electronic repositories of metabolic information is an increasingly active area of research. Encoding detailed knowledge of a complex biological domain requires finely honed representations. We survey representations used for several metabolic databases, including Eco-Cyc, and reach the following conclusions.
Peter D. Karp, Monica Riley
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And/or trees for knowledge representation
1995Graph modelling is a modern branch of probability theory concerned with representations for the probability distributions as a product of functions of several variables as a base for possible ways to store high-dimensional distributions by means of a small number of parameters.
Luminita State, Radu State
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Knowledge representation as domain
Journal of Applied Non-Classical Logics, 1997ABSTRACT This is a continuing attempt in a series of papers [KM 93, Mur 93, Mur 96] to show how computer-represented knowledge can be arranged as elements of an effectively represented semantic (or algebraic) domain in the sense of [GS 90]. We present a direct deductive description of the domain, which was defined semantically in [KM 93], via the Scott'
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Perceptron Connectives in Knowledge Representation
2020We discuss the role of perceptron (or threshold) connectives in the context of Description Logic, and in particular their possible use as a bridge between statistical learning of models from data and logical reasoning over knowledge bases. We prove that such connectives can be added to the language of most forms of Description Logic without increasing ...
Pietro Galliani +4 more
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The Representation of Fuzzy Knowledge
Journal of Cybernetics, 1974A new AI programming language (called FUZZY) is introduced which provides a number of facilities for efficiently representing and manipulating fuzzy knowledge. A fuzzy associative net is maintained by the system, and procedures with associated "procedure demons" may be defined for the control of fuzzy processes.
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The LILOG knowledge representation system
ACM SIGART Bulletin, 1991The LILOG knowledge representation system is part of LEU/2 - the LILOG Experimentier Umgebung 1 - a natural language understanding system for German. The knowledge representation system comprises a sophisticated knowledge representation system comprises a sophisticated knowledge ...
Toni Bollinger, Udo Pletat
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Logic for knowledge representation
1984The very terminology "logic programming" tends to reinforce the view that logic is another, albeit very important, tool to further the ends of the software engineer. This perhaps has distracted attention from the more revolutionary potential of logic to alter the nature of software engineering altogether.
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