Add to ORKGExtremely large knowledge sources and efficient knowledge access characterizing future real-life artificial intelligence applications represent crucial requirements for on-board artificial intelligence systems due to obvious computer time and storage constraints on spacecraft. A type of knowledge representation and corresponding reasoning mechanism is proposed which is particularly suited for the efficient processing of such large knowledge bases in expert systems
In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying th...
One of the major shortcomings of neural network as a problem solving tool lies in its opaque nature ...
Intelligent systems based on first-order logic on the one hand, and on artificial neural networks (a...
Similarity networks are a powerful form of knowledge representation that are useful for many artific...
This thesis deals with one important aspect of Artificial Intelligence, knowledge representation and...
This thesis deals with one important aspect of Artificial Intelligence, knowledge representation and...
The requirements for the memory structuring of intelligent systems are discussed. Simultaneously wi...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Two related research efforts were addressed: (1) high-level connectionist cognitive modeling; and (2...
Knowledge representation is an active field of Artificial Intelligence research. The method of repre...
125 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Traditional artificial intell...
In this chapter the knowledge-based neurocomputing will be applied to expert systems. Two main appro...
Artificial Intelligence (AI) is all about creating automatization of processes, which previously wer...
Al systems have long relied on propositional semantic network knowledge representation. Although man...
In the artificial intelligence field, knowledge representation and reasoning are important areas for...
In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying th...
One of the major shortcomings of neural network as a problem solving tool lies in its opaque nature ...
Intelligent systems based on first-order logic on the one hand, and on artificial neural networks (a...
Similarity networks are a powerful form of knowledge representation that are useful for many artific...
This thesis deals with one important aspect of Artificial Intelligence, knowledge representation and...
This thesis deals with one important aspect of Artificial Intelligence, knowledge representation and...
The requirements for the memory structuring of intelligent systems are discussed. Simultaneously wi...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Two related research efforts were addressed: (1) high-level connectionist cognitive modeling; and (2...
Knowledge representation is an active field of Artificial Intelligence research. The method of repre...
125 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Traditional artificial intell...
In this chapter the knowledge-based neurocomputing will be applied to expert systems. Two main appro...
Artificial Intelligence (AI) is all about creating automatization of processes, which previously wer...
Al systems have long relied on propositional semantic network knowledge representation. Although man...
In the artificial intelligence field, knowledge representation and reasoning are important areas for...
In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying th...
One of the major shortcomings of neural network as a problem solving tool lies in its opaque nature ...
Intelligent systems based on first-order logic on the one hand, and on artificial neural networks (a...