Intelligence Science

Intelligence Science

Leading the Age of Intelligence

Shi, Zhongzhi

Elsevier - Health Sciences Division

04/2021

632

Mole

Inglês

9780323853804

15 a 20 dias

970

Descrição não disponível.
1. Introduction2. Foundation of neurophysiology3. Neural Computing4. Mind model CAM5. Perceptual Intelligence6. Language cognition7. Learning8. Memory9. Thought10. Intellectual development and cognitive structure11. Emotion and affect12. Consciousness13. Brain machine integration14. Brain-like intelligence
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?ABGP agent; ACT-R model; ART model; Abductive inference; Action potential; Affective computing; Analogical inference; Artificial intelligence; Attention; Auditory pathway; Back-propagation; Bayesian linking field model; Big issues; Bilingual brain; Brain; Brain science; Brain-like intelligence; CAM model; Causal inference; Cerebral cortex; Cognitive cycle; Cognitive intelligence; Cognitive learning; Cognitive machine learning; Cognitive science; Cognitive structure; Collaborative decision-making; Complementary learning; Computer integration; Computer interface; Conscious Turing machine; Consciousness; Consciousness system; Deductive inference; Deep learning; Development roadmap; Ecology theory; Electroencephalogram; Emotion intelligence; Emotion model; Emotion pathway; Emotion theory; Emotional quotient; Environmental awareness; Episodic memory; Formal grammar; Genetic epistemology; Gestalt theory; Global workspace theory; Hierarchical temporal memory; Hieratical model of thought; Human Brain Project; Human learning; Humanistic learning; In-memory computing; Inductive inference; Information integration theory; Intelligence; Intelligence development; Intelligence quotient; Intelligence revolution; Intelligence science; Introspective learning; Ion channel; Language cognition; Language understanding; Learning theory of behaviorism; Long short-term memory; Long-term memory; Machine learning; Membrane potential; Memory; Memory system; Memristor; Mind model; Morphism-category theory; Natural language processing; Nervous system; Neural column; Neural computing; Neural field model; Neuromorphic chip; Neuronal group selection; Neuroscience; Neurotransmitter; P300; PMJ model; Perceptual intelligence; Physical symbol system; Quantum theory; Recurrent neural networks; Reductionism; Reinforcement learning; SOAR model; Second messenger; Semantic memory; Short-term memory; Speech recognition; Synaptic learning rules; Synaptic transmission