2979	 Studies in Machine Cognition Using The Game of Poker	 A progress report is presented of on-going research efforts concerning human decision making under uncertainly 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 in terest 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 judgment choice and decision making are incorporated in a large scale complex program. They represent both descriptive and normative theories of behavior. An in teractive 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. machine learning game playing programs decision making under uncertain ty and risk automatic forming and optimizing of heuristic rules automatic inductive and deductive inference making models of game learning poker gambling and bluffing
