Overview
- Provides a comprehensive framework for uncertain reasoning, integrating probability theory, predicate and term logic, and pattern theory
- Considers a broad scope of reasoning types
- Fuses rigorous mathematics with practical computation to describe methods designed for large-scale and, in many cases, real-time inference within commercial software systems
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents(14 chapters)
About this book
Authors and Affiliations
-
Novamente LLC, Rockville, U.S.A.
Ben Goertzel, Izabela Freire Goertzel, Ari Heljakka
-
Dept. Chemistry, Computer Science &, Mathematics, Adams State College, Alamosa, U.S.A.
Matthew Iklé
Bibliographic Information
Book Title: Probabilistic Logic Networks
Book Subtitle: A Comprehensive Framework for Uncertain Inference
Authors: Ben Goertzel, Matthew Iklé, Izabela Freire Goertzel, Ari Heljakka
DOI: https://doi.org/10.1007/978-0-387-76872-4
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-0-387-76871-7Published: 11 November 2008
Softcover ISBN: 978-1-4419-4578-5Published: 05 November 2010
eBook ISBN: 978-0-387-76872-4Published: 16 December 2008
Edition Number: 1
Number of Pages: VIII, 336
Topics: Artificial Intelligence, Math Applications in Computer Science