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).
Read more about this topic: Leonid Perlovsky
Famous quotes containing the words dynamic and/or logic:
“The nearer a conception comes towards finality, the nearer does the dynamic relation, out of which this concept has arisen, draw to a close. To know is to lose.”
—D.H. (David Herbert)
“Our argument ... will result, not upon logic by itself—though without logic we should never have got to this point—but upon the fortunate contingent fact that people who would take this logically possible view, after they had really imagined themselves in the other man’s position, are extremely rare.”
—Richard M. Hare (b. 1919)