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Neural Representations of Procedural Knowledge
Psychological Science, 2020Although declarative concepts (e.g., apple) have been shown to be identifiable from their functional MRI (fMRI) signatures, the correspondence has yet to be established for executing a complex procedure such as tying a knot. In this study, 7 participants were trained to tie seven knots.
Robert A. Mason, Marcel Adam Just
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Linguistic Petri Nets Based on Cloud Model Theory for Knowledge Representation and Reasoning
IEEE Transactions on Knowledge and Data Engineering, 2018Fuzzy Petri nets (FPNs) are a vital modeling technique for the construction of knowledge-based systems, which have been commonly used in many fields, such as fault diagnosis, risk assessment, workflow management, and disassembly process planning. However,
Hu-chen Liu +3 more
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Design Prototypes: A Knowledge Representation Schema for Design
The AI Magazine, 1990This article begins with an elaboration of models of design as a process. It then introduces and describes a knowledge representation schema for design called design prototypes. This schema supports the initiation and continuation of the act of designing.
J. Gero
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KNOWLEDGE REPRESENTATIONS AND KNOWLEDGE TRANSFER.
Academy of Management Journal, 2001Cognitive and learning theories were used to develop a framework in which different knowledge representations prime recipients with different schemata and thereby differentially affect their decisi...
Prasert Kanawattanachai +5 more
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Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning
IEEE Transactions on Neural Networks and Learning Systems, 2020Knowledge-transfer (KT) methods allow for transferring the knowledge contained in a large deep learning model into a more lightweight and faster model. However, the vast majority of existing KT approaches are designed to handle mainly classification and ...
N. Passalis, Maria Tzelepi, A. Tefas
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Prior Knowledge-Based Probabilistic Collaborative Representation for Visual Recognition
IEEE Transactions on Cybernetics, 2020Collaborative representation is an effective way to design classifiers for many practical applications. In this paper, we propose a novel classifier, called the prior knowledge-based probabilistic collaborative representation-based classifier (PKPCRC ...
Rushi Lan +3 more
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2006
In 1982, Allen Newell introduced the “knowledge level” principle (Newell, 1982) and revolutionized the traditional way of conceiving the relationships between knowledge management and computer science. According to this principle, the knowledge level represents the highest level in the description of any structured system: Situated above and ...
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In 1982, Allen Newell introduced the “knowledge level” principle (Newell, 1982) and revolutionized the traditional way of conceiving the relationships between knowledge management and computer science. According to this principle, the knowledge level represents the highest level in the description of any structured system: Situated above and ...
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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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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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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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