Leonid Perlovsky - Dynamic Logic (neural)

Dynamic Logic (neural)

In Perlovsky's works, the term Dynamic logic refers to a logic-process describing mathematically a fundamental mind mechanism of interactions between bottom-up signals and top-down signals as a process of adaptaton from vague to crisp concepts. Dynamic logic is a mathematical description of the Knowledge instinct. This mathematical formulation results in practically usable algorithms used within the framework of Neural modeling fields. It resulted in significant improvement in solving classical problems (such as detection, recognition, tracking, fusion) and new approaches to recently emerging problems (such as text search engines and cultural prediction models).

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