ConceptBase—a deductive object base for meta data management
Journal of Intelligent Information Systems - Special issue: deductive and object-oriented databases
Autonomic and cognitive possibilities for information or neural-like systems using dynamic links
WSEAS TRANSACTIONS on SYSTEMS
A Cognitive Model for Learning and Reasoning over Arbitrary Concepts
KAM '09 Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 02
Automatic construction of a lexical attribute knowledge base
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
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Previous work has described linking mechanisms and how they might be used in a cognitive model that could even begin to think [1][2][3]. One key problem is enabling the system to autonomously form its own concept structures from the information that is presented. This is particularly difficult if the information is unstructured, for example, individual concept values being presented in unstructured groups. This paper suggests an addition to the current model that would allow it to filter the unstructured information to form higher-level concept chains that would represent something in the real world. The new architecture also starts to resemble a traditional feedforward neural network, suggesting what future directions the research might take.