( display as html) Please AFIT Applied Mathematics and Statistics Colloquium “Qualia, Intelligence, and Computation” Robert L. Fry Johns Hopkins University/Applied Physics Laboratory Thursday, 26 January 2012, 1400-1450, Room 244, Building 640 Abstract: This talk is an update to another given to the AFIT Physics Department in May 2007 titled “The Engineering of Intelligent Systems.” The emerging framework described there has matured significantly since and is lends itself to quantifying the notion of qualia and the active flow of information and decisions to and from an open system. These systems include intelligent, biological, dissipative physical systems, and “algorithms.” Qualia can be seen as the most elementary computational tokens within this general theory of computation and capture how a system mechanistically acquires information from and in turn makes decisions on how it wants to effect its environment. It should be noted that things that we can “do” share the title of being “qualia” along with those things that we can “know.” In either case, these are the percepts we subjectively distinguish. Together, the requirements of subjective distinguishability and causality provide a coherent and logically consistent basis for a computational framework that describes the objective rules and dynamics of subjective computation. Progress since the prior talk includes answering two questions critical to developing a complete engineering framework. The first was how a system can solve the game-theoretic optimization problems so as to be practically realizable. The second problem is drawn from socalled “rabbit hole” analogy in turn drawn from the book “Alice in Wonderland” and deals with how we should behave when confronted with uncertainty in what is known, what to do, or both. Once the engineering framework is summarized, examples and sample applications are given in the areas of neural computation, ballistic missile defense, algorithm design, and cancer research. Cortical neurons provide an especially useful and constructive demonstration of the theory and engineering framework. This talk ends with a synopsis of a recent interesting finding. The term “qualia” and the fundamental notion and definition of “strict” logical implication in logic have a common originator – the great American philosopher C. I. Lewis. This may be surprising, but should not since these concepts are inseparable. Lewis clearly understood the importance of both notions. About the speaker: Robert Fry has bachelor degrees in computer science and electrical engineering (EE) and a Masters degree in EE from the Johns Hopkins University where he worked since 1979 and is currently Principal Professional Staff. His principal job is combat and weapon system engineering. He has extensive experience with the US Navy AEGIS combat system and the development and evolution of many missile and weapon systems including PATRIOT, THAAD, HARPOON, RAM, Tomahawk, AMRAAM, and the entire Standard Missile family. Robert also performs basic research and is transitioning a computational theory of intelligence into a formal framework for the design and realization of intelligent systems. The transitioning process has been guided by the two pathfinder applications; ballistic missile defense (BMD) and neural computation where he has many publications since 1994. In the latter, he has successfully applied the theory to reverse-engineer cortical neurons as found in brains. Robert holds 5 US patents including a Photoscreener for Infants and Preschool children now being licensed and another in Cybernetic Systems. He teaches graduate courses at Johns Hopkins University in Probability and Information Theory, Random Processes, Digital Signal Processing, and various short courses in missile and combat system engineering system taught domestically and internationally.