TY  - BOOK
AU  - Goertzel,Ben
AU  - Iklé,Matthew
AU  - Goertzel,Izabela Freire
AU  - Heljakka,Ari
ED  - SpringerLink (Online service)
TI  - Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference 
SN  - 9780387768724
PY  - 2009///
CY  - Boston, MA
PB  - Springer US
KW  - Computer science
KW  - Artificial intelligence
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Math Applications in Computer Science
N1  - Knowledge Representation -- Experiential Semantics -- Indefinite Truth Values -- First-Order Extensional Inference: Rules and Strength Formulas -- First-Order Extensional Inference with Indefinite Truth Values -- First-Order Extensional Inference with Distributional Truth Values -- Error Magnification in Inference Formulas -- Large-Scale Inference Strategies -- Higher-Order Extensional Inference -- Handling Crisp and Fuzzy Quantifiers with Indefinite Truth Values -- Intensional Inference -- Aspects of Inference Control -- Temporal and Causal Inference
N2  - This book describes Probabilistic Logic Networks (PLN), a novel conceptual, mathematical and computational approach to uncertain inference. Going beyond prior probabilistic approaches to uncertain inference, PLN encompasses such ideas as induction, abduction, analogy, fuzziness and speculation, and reasoning about time and causality. The book provides an overview of PLN in the context of other approaches to uncertain inference. Topics addressed in the text include: the basic formalism of PLN knowledge representation the conceptual interpretation of the terms used in PLN an indefinite probability approach to quantifying uncertainty, providing a general method for calculating the "weight-of-evidence" underlying the conclusions of uncertain inference specific PLN inference rules and the corresponding truth-value formulas used to determine the strength of the conclusion of an inference rule from the strengths of the premises large-scale inference strategies inference using variables indefinite probabilities involving quantifiers inheritance based on properties or patterns the Novamente Cognition Engine, an application of PLN temporal and causal logic in PLN Researchers and graduate students in artificial intelligence, computer science, mathematics and cognitive sciences will find this novel perspective on uncertain inference a thought-provoking integration of ideas from a variety of other lines of inquiry
UR  - http://dx.doi.org/10.1007/978-0-387-76872-4
ER  -