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Colloquium - Bradley

Chaos, Artificial Intelligence, and Design
Department of Computer Science

In this talk, I will present two nontraditional approaches to design whose roots lie, respectively, in nonlinear dynamics and artificial intelligence.

I will begin by describing the PRET artificial intelligence modeling tool, which automates the process that design engineers call system identification -- deducing the internal dynamics of a black-box system solely from observations of its outputs. PRET builds ordinary differential equation models of physical systems, linear or nonlinear; it accomplishes this by wrapping a layer of AI techniques around a core of traditional engineering methods. This AI layer executes many of the high-level parts of the system identification procedure that are normally performed by a human expert. It intelligently assesses the situation at each stage of the process and then reasons from the available information to automatically choose, invoke, and interpret the results of appropriate lower-level techniques. We have successfully used PRET to model a variety of textbook and real-world problems, including a radio-controlled car destined for use in a soccer-playing robot project.

In the second section of this talk, I will describe some recent work in the area of chaos and control. Following a brief review of the mathematical theory and computational techniques that are involved, I will use a variety of examples to demonstrate that chaos can be quite useful in analysis and design. These examples, which are drawn from various areas of science, engineering, and even the performing arts, include spacecraft trajectories that require less fuel, tracking circuitry with wider ranges, fuel injectors that mix gasoline and air more effectively, and chaotic choreographic variations.

Refreshments will be served immediately before the talk at 3:30pm.

Department of Computer Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
May 5, 2012 (14:13)