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Full Description
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
Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features:
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
Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.
Contents
1. Fundamental Notions and Applications of Symbiotic Recursive Pulsative Systems 2. Cognitive Computing: Quo Vadis? 3. Digital Transformations Imperatives: Predictive Goal Processes for Business Model Innovation 4. Toward a Quantum Theory of Cognitive Affect from Poe to Robotic Helpers: Newton, Arousal, and Covalent Bonding 5. AI Predictive Digital Analytics: A Model Computing Basis 6. Effect of Digitization on Business Model Innovation 7. AI Process Description Algebras and Ontology Preservation Techniques
