<p>Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AIโs importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontie
Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics (Innovation Management and Computing)
โ Scribed by Cyrus F. Nourani
- Tongue
- English
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Content: <br>Chapter 1 Introduction (pages 1โ6): <br>Chapter 2 A Few Thoughts Before the Formalization (pages 7โ37): <br>Chapter 3 Propositional Logic (pages 39โ119): <br>Chapter 4 First?order Terms (pages 121โ130): <br>Chapter 5 First?Order Logic (FOL) or Predicate Logic (PL1, PC1) (pages 131โ211):
Logic and its components (propositional, first-order, non-classical) play a key role in Computer Science and Artificial Intelligence. While a large amount of information exists scattered throughout various media (books, journal articles, webpages, etc.), the diffuse nature of these sources is proble
This book is the classroom-tested result of several years of teaching at Grenoble INP (Ensimag). It is conceived to allow self-instruction for a beginner with basic knowledge in Mathematics and Computer Science, but is also highly suitable for use in traditional courses. The reader is guided by clea
Logic and its components (propositional, first-order, non-classical) play a key role in Computer Science and Artificial Intelligence. While a large amount of information exists scattered throughout various media (books, journal articles, webpages, etc.), the diffuse nature of these sources is proble
<p></p><p>This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs