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Artificial Intelligence and Computing Logic
Cognitive Technology for AI Business Analytics
Cyrus F. Nourani
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
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