Indefinite Probability Review by Matthew Ikle
Matthew Ikle presents Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach by Matthew Ikle and Ben Goertzel of Novamente
Indefinite Probability approach is a hybrid of Peter Walley's imprecise probability and Bayesian work.
Peter Walley's work is summarized in his book: Statistical Reasoning with Imprecise Probabilities
The topic of this talk, along with a later talk by Ben Goerzel How Might Probabilistic Reasoning Emerge from the Brain? will likely be covered in much more detail in a forthcoming (July, 2008) book Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference by Ben Goertzel, Matthew Ikle , Izabela Lyon Freire Goertzel, and Ari Heljakka
in Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030208 136
Indefinite Probability Review by Matthew Ikle
Matthew Ikle presents Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach by Matthew Ikle and Ben Goertzel of Novamente
Indefinite Probability approach is a hybrid of Peter Walley's imprecise probability and Bayesian work.
Peter Walley's work is summarized in his book: Statistical Reasoning with Imprecise Probabilities
The topic of this talk, along with a later talk by Ben Goerzel How Might Probabilistic Reasoning Emerge from the Brain? will likely be covered in much more detail in a forthcoming (July, 2008) book Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference by Ben Goertzel, Matthew Ikle , Izabela Lyon Freire Goertzel, and Ari Heljakka
in Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030208 136