Probabilistic Logic Networks  From OpenCog  (Redirected from
PLN) Jump to: navigation, search  See also Publications#PLN|
OpenCogPrime:WikiBook#Integrative_Inference     The goal
underlying the theoretical development of PLN has been the
creation of practical software systems carrying out complex,
useful inferences based on uncertain knowledge and drawing
uncertain conclusions. PLN has been designed to to allow basic
probabilistic inference to interact with other kinds of
inference such as intensional inference, fuzzy inference, and
higher-order inference using quantifiers, variables, and
combinators, and be a more convenient approach than Bayes nets
(or other conventional approaches) for the purpose of
interfacing basic probabilistic inference with these other sorts
of inference.   PLN was developed by Ben Goertzel, Matt Ikle',
Izabela Goertzel and Ari Heljakka for use as a cognitive
algorithm used by MindAgents within the OpenCog Core. PLN was
developed originally for use within the Novamente Cognition Engi