Event Detail

Event Type: 
Applied Mathematics and Computation Seminar
Friday, April 18, 2008 - 05:00
Gilkey 113

Speaker Info

OSU Mechanical Engineering

The number of autonomous systems composed of many interacting computational agents has exploded over the last decade. Spurred by the ever increasing size, interconnectivity and complexity of systems on one hand and the miniaturization and affordability of computing power on the other, new paradigms to controlling such systems are emerging. Coordinating thousands of computational agents in dynamic and stochastic environments, an idea that a mere decade ago would have been outlandish, is not only possible, but imperative today. Indeed, the technological bottlenecks today stem from the lack of mathematics and algorithms to autonomously coordinate such systems rather than difficulties associated with building them.
This talk directly addresses this issue. In particular, it focuses on how to design and coordinate such autonomous systems through ``collectives'' (a set of learning agents that optimize a system level objective through pursuing their own local objectives). The main challenge in this approach is in deriving the local objectives that when reached by the agents, lead to good system level behavior. Successful applications of collectives include controlling multiple robots/autonomous vehicles; managing air traffic; and coordinating thousands of nano or micro computing devices.