A note on the inevitability of maximum entropy
International Journal of Approximate Reasoning
Entropy and information theory
Entropy and information theory
Characterizing the principle of minimum cross-entropy within a conditional-logical framework
Artificial Intelligence
Conditional logic and the principle of entropy
Artificial Intelligence
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Knowledge processing under information fidelity
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Reflections on logic and probability in the context of conditionals
WCII'02 Proceedings of the 2002 international conference on Conditionals, Information, and Inference
Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
IEEE Transactions on Information Theory
GNet: A generalized network model and its applications in qualitative spatial reasoning
Information Sciences: an International Journal
Intranets: A semiological analysis
Journal of Information Science
Information Sciences: an International Journal
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Cognitive Psychology studies humans' capabilities to memorize and recall knowledge and images, among others. Connectionistic, propositional and conceptual models are a means to survey these phenomenons. This paper proposes an information theoretical network for simulating stimulus and response in categorical structures. A stimulus triggers an information flow throughout the whole network and generates for all ideas representing vertices an impact in the information theoretical unit [bit], thus measuring the recall intensity and producing a response. The method is shown to yield results of high performance even for complex taxonomies and connectionistic models. Reasoning is the logical counterpart of recall. Once an idea is associated with a stimulus, logical dependencies between both must be established, if required. Information theoretical networks allow to switch between a recall mode and a reasoning mode, also permitting logical reasoning within the same framework. Both capabilities are demonstrated by suitable examples.