AGI 2013 - International Workshop on Probability Theory or Not? Practical and Theoretical Concerns on Uncertainty Handling in AGI

In the emerging field of AGI, more and more researchers have realized the necessity of processing the uncertainty in the environment and the systems in a systematic and well-justified way. Many people choose to use the most developed mathematical theory, probability theory, to represent and process the uncertainty involved, although alternatives exist. Various mathematical models have been proposed, and many engineering designs also include probabilistic or statistical calculations in them.
Though probabilistic models are popular, there are nevertheless some fundamental issues to be resolved in these models, including
What is measured by the “probability” in a model? Is it an objective property of an event, a subjective strength of a belief, or a logic relation between evidence and conclusion?
How to evaluate the existing approaches to uncertainty handling in AGI? Are the theoretical models applicable? Are the engineering models justifiable?
What are the basic requirements for uncertainty handling in AGI systems to be legally applied? How can these requirements be satisfied within real-world computational constraints? How well are these requirements satisfied in AGI models?
What is the most promising way to process uncertainty in AGI? To use the classical model of probability theory, an extended or modified probability theory, or another theory entirely?
By addressing the above issues during this AGI-13 workshop, we hope to bring the theoreticians and the engineers to work together to develop formal models that can be implemented in computer systems, so as to base the AGI system on a solid foundation.
Organizers: Matthew Ikle (Adams State University, USA) and Laurent Orseau (AgroParisTech, France)
Paper length is at most 7 pages in the AGI format. The submission deadline is April 10, 2013. All papers should be written in English, and submitted as a PDF file to matt dot ikle at gmail dot com.
For more information, visit the workshop webpage at http://www.agroparistech.fr/mia/agi-workshop/.