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This book presents the theory of dynamic logic, a computational approach that models how vague mental representations evolve into precise (“crisp”) ones. It integrates concepts from artificial intelligence, signal processing, and cognitive science to improve classical algorithms in areas such as detection, recognition, and prediction. The work also explores applications in modeling cognition, emotion, and brain processes, making it relevant for engineers, researchers, and scientists studying intelligent systems.

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245: $a: Emotional Cognitive Neural Algorithms with Engineering Applications: Dynamic Logic: From Vague to Crisp
245: $b:
082: $a:
100: $a: Leonid Perlovsky & Ross Deming & Roman Ilin
650: $a: Computer Science
250: $a:
440: $v:
250: $b: Springer (Springer‑Verlag Berlin Heidelberg)
250: $c: 2011
020: $a: 978-3-642-22829-2
300: $a: 209