ISBN: 9798296847331 - modeling intelligence: computational techniques in cognitive systems (5 risultati)

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  • Lingua: Inglese

    Editore: Independently published, 2025

    9798296847331

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    Da: California Books, Miami, FL, U.S.A.California Books

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    Condizione: Nuovo

    EUR 34,83

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    Quantità: Più di 20 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp, 2025

    9798296847331

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    Condizione: Nuovo

    EUR 39,06

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    PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798296847331

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    • Print on Demand

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    Condizione: Nuovo

    EUR 39,73

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    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Understanding intelligence-both human and artificial-requires not only theoretical insight but also practical tools for modeling complex cognitive processes. Modeling Intelligence: Computational Techniques in Cognitive Systems bridges the gap between cognitive theory and computational implementation. This book introduces readers to foundational and advanced techniques used in simulating perception, reasoning, learning, and decision-making, drawing from disciplines such as artificial intelligence, cognitive psychology, and neuroscience. The focus is on computational modeling as a means to both replicate and better understand the mechanisms of intelligent behavior. To make these concepts tangible and applicable, the book integrates hands-on examples using Python programming. Python's readability and the strength of its scientific libraries make it an ideal choice for demonstrating models ranging from neural networks and Bayesian inference to symbolic reasoning and agent-based systems. Each chapter pairs conceptual explanations with practical code to encourage exploration and experimentation. This approach is designed to support students, researchers, and practitioners seeking to deepen their understanding of cognitive systems through computational methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Amazon Digital Services LLC - Kdp, 2025

    9798296847331

    • Brossura
    • Print on Demand

    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    Condizione: Nuovo

    EUR 35,20

    EUR 5,95 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798296847331

    • Brossura
    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Condizione: Nuovo

    EUR 39,68

    EUR 43,88 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Understanding intelligence-both human and artificial-requires not only theoretical insight but also practical tools for modeling complex cognitive processes. Modeling Intelligence: Computational Techniques in Cognitive Systems bridges the gap between cognitive theory and computational implementation. This book introduces readers to foundational and advanced techniques used in simulating perception, reasoning, learning, and decision-making, drawing from disciplines such as artificial intelligence, cognitive psychology, and neuroscience. The focus is on computational modeling as a means to both replicate and better understand the mechanisms of intelligent behavior. To make these concepts tangible and applicable, the book integrates hands-on examples using Python programming. Python's readability and the strength of its scientific libraries make it an ideal choice for demonstrating models ranging from neural networks and Bayesian inference to symbolic reasoning and agent-based systems. Each chapter pairs conceptual explanations with practical code to encourage exploration and experimentation. This approach is designed to support students, researchers, and practitioners seeking to deepen their understanding of cognitive systems through computational methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…