Isbn: 9781334260384 - a logical framework for solid object physics (classic reprint) (3 risultati)

Perfeziona la tua ricerca

  • Libri (3)

  • Nuovo (3)

a

Fascia di prezzo personalizzata (EUR)

a

  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1334260389 / 9781334260384

    • Brossura

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

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 24,63

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: 15 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1334260389 / 9781334260384

    • Brossura

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

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 24,64

    EUR 3,83 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 15 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Forgotten Books, 2024

    1334260389 / 9781334260384

    • Brossura
    • Print on Demand

    Da: Forgotten Books, London, Regno UnitoForgotten Books

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 15,64

     Spedizione gratuita 
    Spedito da Regno Unito a U.S.A.

    Quantità: Più di 20 disponibili

    Paperback. Condizione: New. Print on Demand. This book introduces a groundbreaking logical framework for solid object physics. By combining geometrical, temporal, and physical reasoning, the framework enables robust prediction of system behavior over extended time periods. The author demonstrates the framework's power through a series of thought experiments involving dice dropped into funnels of varying shapes and sizes. The experiments reveal how the logical framework can analyze complex interactions and derive generalizable insights, even when dealing with imprecise data and incomplete problem specifications. The work builds on previous AI research in physical reasoning but overcomes limitations in representing complex geometries and simulating extended time periods through differential equations. It advances the field of qualitative reasoning by providing a formal foundation for predicting the behavior of solid objects in a wide range of scenarios. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.