Common Lisp Instrumentation Packag: User Manual

David L. Westbrook, Scott D. Anderson, David Montgomery Hart, Paul R. Cohen · 1994

Title: Common Lisp Instrumentation Package: User Manual. Authors: David L. Westbrook, Scott D. Anderson, David M. Hart and Paul R. Cohen Address: Experimental Knowledge Systems Laboratory Dept. of Computer Science, LGRC Box 34610 Lederle Graduate Research Center Univ. of Massachusetts Amherst, MA 01003-4610 Date: April 1994 Monitoring is the process by which agents assess their environments. Most AI applications rely on periodic monitoring, but for a large class of problems this is inefficient. The interval reduction monitoring strategy is better. It also appears in humans and artificial agents when they are given the same set of monitoring problems. We implemented two genetic algorithms to evolve monitoring strategies and a dynamic programming algorithm to find an optimum strategy. We also developed a simple mathematical model of monitoring. We tested all these strategies in simulations, and we tested human strategies in a video game. Interval reduction always emerged. Environmental factors such as error and monitoring costs had the same qualitative effects on the strategies, irrespective of their genesis. Interval reduction appears to be a general monitoring strategy.

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