Research and Advances

Studies in machine cognition using the game of poker


A progress report is presented of on-going research efforts concerning human decision making under uncertainty and risk and human problem solving and learning processes on the one hand, and machine learning, large scale programming systems, and novel programming techniques on the other. There has also been interest in how humans make deductive and inductive inferences and form and optimize heuristic rules, and how machines can reach similar results. Although the vehicle of these investigations has been the game of poker, a conceptual framework has been provided that should have a fairly wide range of applicability. The models of human judgement, choice, and decision making are incorporated in a large scale complex program. They represent both descriptive and normative theories of behavior. An interactive game environment has been recently established which, besides its usefulness for experiments in game playing, enables humans to construct machine strategies “on-line” in a question answering, advice taking mode.

View this article in the ACM Digital Library.

Join the Discussion (0)

Become a Member or Sign In to Post a Comment

The Latest from CACM

Shape the Future of Computing

ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.

Get Involved

Communications of the ACM (CACM) is now a fully Open Access publication.

By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.

Learn More