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Training intelligent systems to think on their own

John Connor and SkyNet junior execs take note: according to Lehigh's Hector Muñoz-Avila, the technology on which the modern world relies is nearly ready to reason and to make decisions without human assistance.

A pioneer in the new field of goal-driven autonomy (GDA), Muñoz-Avila, associate professor of computer science and engineering, says that coming advances in mathematical formulas known as algorithms will soon allow machines to investigate a complex problem, determine the most effective intermediate goals and take action to achieve a long-range solution. In the process, they will adjust to unexpected situations and learn from their mistakes, and achieve all of this without human control or guidance.

Muñoz-Avila, recently received a three-year research grant from the National Science Foundation to develop autonomous agents that dynamically identify and self-select their goals, and to test these agents in computer games.

In recent years, Muñoz-Avila and collaborators from the Naval Research Laboratory and the Georgia Institute of Technology pioneered the topic of GDA agents, which overcome unexpected phenomena in their environments.

Read the full story at the Lehigh Universtiy News Archive.

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