Graph-Based Simulation in Commonsense Reasoning (COMIRIT)
Benjamin Johnston presents: Comirit: Commonsense Reasoning by Integrating Simulation and Logic by Benjamin Johnston and Mary-Anne Williams is Research Professor and Director of the Innovation and Technology Research Laboratory. at The University of Technology, Sydney, Australia
Graphs are very general, can represent anyting. Egg example, instead of 60 axioms, just 9 rules. Iconic representation is easier than logic.
This point was also made by in the next talk Hybrid Reasoning and the Future of Iconic Representations by Catherine Recanati
in Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)
Mary-Anne Williams is Research Professor and Director of the Innovation and Technology Research Laboratory.
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 140
Graph-Based Simulation in Commonsense Reasoning (COMIRIT)
Benjamin Johnston presents: Comirit: Commonsense Reasoning by Integrating Simulation and Logic by Benjamin Johnston and Mary-Anne Williams is Research Professor and Director of the Innovation and Technology Research Laboratory. at The University of Technology, Sydney, Australia
Graphs are very general, can represent anyting. Egg example, instead of 60 axioms, just 9 rules. Iconic representation is easier than logic.
This point was also made by in the next talk Hybrid Reasoning and the Future of Iconic Representations by Catherine Recanati
in Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)
Mary-Anne Williams is Research Professor and Director of the Innovation and Technology Research Laboratory.
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 140