'Duke edu courses' presentation slideshows

STAT 101 Exploratory Data Analysis I 1/25/12

757 views • 54 slides

CPS 270: Artificial Intelligence cs.duke/courses/fall08/cps270/ First-Order Logic

Instructor: Vincent Conitzer. CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ First-Order Logic. Limitations of propositional logic. So far we studied propositional logic Some English statements are hard to model in propositional logic:

418 views • 29 slides

CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ Planning

Instructor: Vincent Conitzer. CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ Planning. Planning. We studied how to take actions in the world (search) We studied how to represent objects, relations, etc. (logic) Now we will combine the two!.

456 views • 28 slides

COMPSCI 100, Spring 2008 Owen Astrachan

COMPSCI 100, Spring 2008 Owen Astrachan. http://www.cs.duke.edu/courses/cps100/spring08 http://www.cs.duke.edu/~ola. What is Computer Science?.

351 views • 24 slides

CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ Markov decision processes, POMDPs

Instructor: Vincent Conitzer. CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ Markov decision processes, POMDPs. Warmup: a Markov process with rewards. We derive some reward from the weather each day, but cannot influence it. .6. s. 10. .1. .3. .4. .3. 8.

288 views • 17 slides

CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ Markov decision processes, POMDPs

Instructor: Vincent Conitzer. CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ Markov decision processes, POMDPs. Warmup: a Markov process with rewards. We derive some reward from the weather each day, but cannot influence it. .6. s. 10. .1. .3. .4. .3. 8.

343 views • 17 slides

CPS 270: Artificial Intelligence http://www.cs.duke.edu/courses/fall08/cps270/ Game Theory

276 views • 14 slides