Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Atlantis Thinking Machines (ATLANTISTM, volume 2)
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Table of contents (16 chapters)
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Representations and Rules for Real-World Reasoning
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Acquiring, Storing and Mining Logical Knowledge
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Probabilistic Logic Networks for Real-World Reasoning
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference
Authors: Ben Goertzel, Nil Geisweiller, Lucio Coelho, Predrag Janičić, Cassio Pennachin
Series Title: Atlantis Thinking Machines
DOI: https://doi.org/10.2991/978-94-91216-11-4
Publisher: Atlantis Press Paris
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Atlantis Press 2011
Hardcover ISBN: 978-94-91216-10-7Published: 07 December 2011
Softcover ISBN: 978-94-6239-053-9Published: 01 March 2014
eBook ISBN: 978-94-91216-11-4Published: 02 December 2011
Series ISSN: 1877-3273
Series E-ISSN: 1877-3281
Edition Number: 1
Number of Pages: IX, 269
Number of Illustrations: 58 b/w illustrations, 1 illustrations in colour
Topics: Computer Science, general, Management of Computing and Information Systems, Artificial Intelligence