Making Good Decisions Quickly

Speaker:  Sven Koenig – Los Angeles, CA, United States
Topic(s):  Applied Computing

Abstract

Several disciplines, including artificial intelligence, operations research and others, study how to make timely and good decisions. In this talk, I argue that it is possible to combine ideas from these disciplines, which often requires serious technical advances to reconcile their different assumptions and approaches in a way that results in synergy between them. I use artificial intelligence as a starting point and give examples from our current and past research to illustrate how to do that. For example, I talk about how to combine ideas from artificial intelligence and utility theory to create the foundations for building decision-support systems that fit the risk preferences of human decision makers in high-stake decision situations better than current systems, how to combine ideas from artificial intelligence and economics to build teams of robots that use auctions to distribute tasks autonomously among themselves, and how to combine ideas from artificial intelligence and theoretical computer science to replan quickly. I then discuss recent developments in the artificial intelligence community to move toward creating a general decision-making discipline, so far mostly for autonomous systems. (This talk is suitable for both audiences with a general computer science background to find out more about artificial intelligence as well as audiences with an artificial intelligence background to find out more about recent trends in artificial intelligence.)

About this Lecture

Number of Slides:  60
Duration:  50 minutes
Languages Available:  English
Last Updated: 

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