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    Intelligence Science

    Intelligence Science

    - Leading the Age of Intelligence

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    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    Intelligence Science: Leading the Age of Intelligence covers the emerging scientific research on the theory and technology of intelligence, bringing together disciplines such as neuroscience, cognitive science, and artificial intelligence to study the nature of intelligence, the functional simulation of intelligent behavior, and the development of new intelligent technologies. The book presents this complex, interdisciplinary area of study in an accessible volume, introducing foundational concepts and methods, and presenting the latest trends and developments. Chapters cover the Foundations of neurophysiology, Neural computing, Mind models, Perceptual intelligence, Language cognition, Learning, Memory, Thought, Intellectual development and cognitive structure, Emotion and affect, and more.  This volume synthesizes a very rich and complex area of research, with an aim of stimulating new lines of enquiry.

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  • Vægt970 g
    • coffee cup img
    10 cm
    book img
    15,2 cm
    22,9 cm

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    Short-term-memory Brain Intelligence Consciousness Cognitive learning Memory Nervous system Cerebral cortex Genetic epistemology Machine learning Quantum theory Cognitive science Reductionism Attention Gestalt Theory Human Brain Project Natural language processing Synaptic Transmission Long-term memory Neuroscience Reinforcement learning Environmental awareness Episodic memory Artificial intelligence Speech recognition Membrane potential Collaborative decision-making Intelligence quotient Second messenger Abductive Inference Auditory pathway Brain science Formal grammar Cognitive Structure Affective Computing Human Learning Semantic memory Recurrent Neural networks Memory System Language Cognition Memristor In-memory computing Back-propagation Deep learning: Inductive inference Causal inference Action potential Neurotransmitter Electroencephalogram Ion channel Cognitive intelligence Computer Interface Neural Computing Emotion theory Hierarchical temporal memory Emotional quotient Big Issues P300 Deductive inference ?ABGP agent ACT-R model Analogical Inference Bayesian linking field model Bilingual Brain Brain-like intelligence Cognitive Cycle art model Conscious Turing machine Cam Model Cognitive machine learning Emotion pathway Ecology theory Emotion intelligence Computer integration Complementary learning Consciousness System Hieratical model of thought Development roadmap Information Integration Theory Language understanding Emotion model Intelligence science Introspective learning Mind Model Morphism-category theory Neuronal Group Selection Neural column Neural field model Global workspace theory Intelligence development Intelligence Revolution Physical Symbol System Soar Model Long short-term memory Humanistic learning Synaptic learning rules Neuromorphic chip Learning theory of behaviorism Perceptual intelligence PMJ model

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