Atlantis Thinking Machines

Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference

Authors: Goertzel, B., Geisweiller, N., Coelho, L., Janičić, P., Pennachin, C.

  • The book gives the first accessible, reasonably comprehensive and unified review of the various existing approaches to any of spatial, temporal or contextual logic
  • The book breaks new research ground via explaining theoretically and by means of examples how uncertain logical inference can be applied in the context of real-world examples of spatial, temporal and contextual logic
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eBook $109.00
price for USA (gross)
  • ISBN 978-94-91216-11-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-94-91216-10-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-94-6239-053-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of interacting with such storehouses – querying, data mining, data analysis – is addressed by current technologies only in very limited and unsatisfactory ways. The impact of a solution to this problem would be huge and pervasive, as the domains of human pursuit to which such storehouses are acutely relevant is numerous and rapidly growing. Finally, we give a more detailed treatment of one potential solution with this class, based on our prior work with the Probabilistic Logic Networks (PLN) formalism. We show how PLN can be used to carry out realworld reasoning, by means of a number of practical examples of reasoning regarding human activities inreal-world situations.

Table of contents (16 chapters)

  • Introduction

    Goertzel, Ben (et al.)

    Pages 11-24

  • Knowledge Representation Using Formal Logic

    Goertzel, Ben (et al.)

    Pages 27-51

  • Quantifying and Managing Uncertainty

    Goertzel, Ben (et al.)

    Pages 53-64

  • Representing Temporal Knowledge

    Goertzel, Ben (et al.)

    Pages 65-78

  • Temporal Reasoning

    Goertzel, Ben (et al.)

    Pages 79-97

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-94-91216-11-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-94-91216-10-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-94-6239-053-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference
Authors
Series Title
Atlantis Thinking Machines
Series Volume
2
Copyright
2011
Publisher
Atlantis Press
Copyright Holder
Atlantis Press
eBook ISBN
978-94-91216-11-4
DOI
10.2991/978-94-91216-11-4
Hardcover ISBN
978-94-91216-10-7
Softcover ISBN
978-94-6239-053-9
Series ISSN
1877-3273
Edition Number
1
Number of Pages
IX, 269
Number of Illustrations and Tables
58 b/w illustrations, 1 illustrations in colour
Topics