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Shape Understanding System

Machine Understanding and Human Understanding

  • Book
  • © 2015

Overview

  • Recent research in Shape Understanding Systems
  • Presents new results on machine understanding and knowledge implementation
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 588)

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Table of contents (11 chapters)

Keywords

About this book

This is the third book presenting selected results of research on the further development of the shape understanding system (SUS) carried out by authors in the newly founded Queen Jadwiga Research Institute of Understanding. In this book the new term Machine Understanding is introduced referring to a new area of research aiming to investigate the possibility of building machines with the ability to understand. It is presented that SUS needs to some extent mimic human understanding and for this reason machines are evaluated according to the rules applied for the evaluation of human understanding. The book shows how to formulate problems and how it can be tested if the machine is able to solve these problems.

Authors and Affiliations

  • The Queen Jadwiga Research Institute of Understanding, Toorak, Australia

    Zbigniew Les, Magdalena Les

Bibliographic Information

  • Book Title: Shape Understanding System

  • Book Subtitle: Machine Understanding and Human Understanding

  • Authors: Zbigniew Les, Magdalena Les

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-14197-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-14196-1Published: 17 March 2015

  • Softcover ISBN: 978-3-319-35457-6Published: 05 October 2016

  • eBook ISBN: 978-3-319-14197-8Published: 06 February 2015

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 256

  • Number of Illustrations: 99 b/w illustrations, 90 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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