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 AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models. Topics include:
- Agent neurocomputing techniques for facial expression recognition
- Computing haptic motion and ontology epistemic
- Characterizations of morph schemas for visual analytics
- Learning and perceptive computing
- Functional and structural neuroimaging modeling
- Observed links between facial recognition and affective emotional processes
- Interaction of cognitive and emotional processes during social decision-making
- Neurocognitive processing of emotional facial expressions in individuals
- Neurocognitive affective system for emotive robot androids
- Virtual reality-based affect adaptive neuromorphic computing
- Looks at the newest frontiers on very popular AI and analytics topics
- Discusses new techniques for visual analytics and data filtering
- Shows how AI and cognitive science merges with quantum neurocognitive computing
- Presents ontology models with ontology preservation data filtering techniques
- Provides a cross-transposition on AI and digitizations for business model innovations
Table of Contents
1. Fundamental Notions and Applications of Symbiotic Recursive Pulsative Systems
Marta Franova and Yves Kodratoff
2. Cognitive Computing: Quo Vadis?
3. Digital Transformations Imperatives: Predictive Goal Processes for Business Model Innovation
Cyrus F. Nourani and Annika Steiber
4. Toward a Quantum Theory of Cognitive Affect from Poe to Robotic Helpers: Newton, Arousal, and Covalent Bonding
Nancy Ann Watanabe
5. AI Predictive Digital Analytics: A Model Computing Basis
Cyrus F. Nourani
6. Effect of Digitization on Business Model Innovation
Swapan Ghosh and Annika Steiber
7. AI Process Description Algebras and Ontology Preservation Techniques
Cyrus F. Nourani and Patrik Eklund
Cyrus F. Nourani, PhD, has a national and international reputation in computer science, artificial intelligence, mathematics, virtual haptic computation, enterprise modeling, decision theory, data sciences, predictive analytics economic games, information technology, and management science. In recent years he has been engaged as a research professor at Simon Frasier University in Burnaby, British Columbia, Canada, and at the Technical University of Berlin, Germany, and has been working on research projects in Germany, Sweden, and France. He has many years of experience in the design and implementation of computing systems. Dr. Nourani’s academic experience includes faculty positions at the University of Michigan-Ann Arbor, the University of Pennsylvania, the University of Southern California, UCLA, MIT, and the University of California, Santa Barbara. He was a visiting professor at Edith Cowan University, Perth, Australia, and a lecturer of Management Science and IT at the University of Auckland, New Zealand.
Dr. Nourani has taught AI to the Los Angeles aerospace industry and has worked in many R&D and commercial ventures. He has written and coauthored several books. He has over 400 publications in computing science, mathematics, and management science, and he has written several books and has edited several volumes on additional topics, such as pure mathematics; AI, EC, and IT management science; decision trees; and predictive economics game modeling. In 1987, he founded Ventures for computing R&D and was a consultant for such clients such as System Development Corporation (SDC), the US Air Force Space Division, and GE Aerospace. Dr. Nourani has designed and developed AI robot planning and reasoning systems at Northrop Research and Technology Center, Palos Verdes, California. He also has comparable AI, software, and computing foundations and R&D experience at GTE Research Labs.
Dr. Nourani commenced his university degrees at MIT, where he became interested in algebraic semantics. That was pursued with a world-renowned category theorist at the University of California and Oxford University. Dr. Nourani’s dissertation on computing models and categories proved to have pure mathematics foundations developments that were published from his postdoctoral times in US and Europe publications.