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

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  • Idioma: Inglés

    Editorial: Independently published, 2025

    9798296847331

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Condición: Nuevo

    EUR 34,83

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    Cantidad disponible: Más de 20 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp, 2025

    9798296847331

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    Condición: Nuevo

    EUR 39,06

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    Cantidad disponible: Más de 20 disponibles

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

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798296847331

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Condición: Nuevo

    EUR 39,73

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    Cantidad disponible: 1 disponible

    Paperback. Condición: 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.…

  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp, 2025

    9798296847331

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    • Impresión bajo demanda

    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 35,20

    Envío por EUR 5,95 
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    Cantidad disponible: Más de 20 disponibles

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

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798296847331

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Condición: Nuevo

    EUR 39,68

    Envío por EUR 43,88 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: 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.…