Paper Info
Title
Human-Like Knowledge Engineering, Generalization, and Creativity in Artificial Neural Associative Systems
Abstract
This paper presents new approaches to form knowledge and achieve generalization and creativity in a human-like way using artificial associations in artificial neural associative systems. We can assume that knowledge is automatically formed in a human brain that is able to associate many objects, facts, rules, needs, and emotions. The brain structure is very specific and does not reflect architectures of today's computers. This paper describes a neuronal structure that is able to represent various data combinations and their sequences in an aggregated form, which allows to recall consolidated facts and rules by triggering various neuron combinations. New combinations of initially triggered neurons recall even new facts and rules as a result of high-level generalization that can be treated as creative behavior. This paper provides the description of artificial neural associative systems that enable to create knowledge in a human-like associative way and to trigger artificial associations.
Year
DOI
Venue
2013
10.1007/978-3-319-19090-7_4
KICSS
Keywords
DocType
Volume
Associative knowledge engineering,As-knowledge,Knowledge representation,Creativity,Artificial associative systems,Emergent cognitive architectures,As-neuron,Semassel
Conference
364
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Adrian Horzyk15312.76