Proceedings Article10.1109/ICSMC.1989.71493
Multilayered cognitive processing
M.O. Hofmann
- 14 Nov 1989
- pp 1206-1207
1
TL;DR: The utility of a multilayered knowledge representation scheme for a relation-based knowledge base and the structure established by multiple layers and multiple perspectives facilitates classification of symptoms and focuses on the exploration of the solution space.
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Abstract: The complexity of large-scale systems can be controlled by imposing structure on the problem space. In the domain of device diagnosis the problem space consists of all possible faults and their manifestations which cannot be represented directly. A multitude of perspectives, such as physical structure, function, and behavior, need to be modeled to describe this space implicitly. The utility of a multilayered knowledge representation scheme for a relation-based knowledge base is demonstrated. The structure established by multiple layers and multiple perspectives facilitates classification of symptoms and focuses on the exploration of the solution space. >
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Citations
CCENet: Framework for Knowledge Based Collaborative Environments in Internet
G. Jimenez,A. Garcia +1 more
- 19 Feb 2006
TL;DR: CCENet is a framework addressed to simplify and standardize the construction of distributed knowledge based collaborative environments in the Internet and includes also functionality to manage users, collaboration, collaborative networks and the stored knowledge.
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References
Neocognitron: A Hierarchical Neural Network Capable of Visual Pattern Recognition
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Diagnostic reasoning based on structure and behavior
TL;DR: In this paper, the authors describe a system that reasons from first principles, i.e., using knowledge of structure and behavior, to deal with situations that are novel in the sense that their outward manifestations may not have been encountered previously.
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Diagnostic Reasoning Based on Structure and Behavior
TL;DR: A system that reasons from first principles, i.e., using knowledge of structure and behavior, which is implemented and tested on several examples in the domain of troubleshooting digital electronic circuits and describes a technique it calls constraint suspension that provides a powerful tool for troubleshooting.
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Krypton: A Functional Approach to Knowledge Representation
TL;DR: The authors have developed a design strategy for avoiding these types of problems and have implemented a representation system based on it, called Krypton, which clearly distinguishes between definitional and factual information.
Pattern recognition by labeled graph matching
TL;DR: A model for position invariant pattern recognition is presented that consists of two layers of neurons, an input layer, and a memory and recognition layer, where patterns are represented by labeled graphs.
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