heuristic programmers and their gambling machines
Following our paper given at the IFIP Congress 71, another progres report is presented of our ongoing research efforts aimed at human decision making under uncertainty and risk. We have studied many aspects of human and machine learning processes, inductive and deductive inference making methods, how heuristic rules are formed and optimized by human players, and how similar results can be arrived at by machines. Although the investigations have been within the general framework of the game of Poker. our findings are considered to have a rather wide range of applicability. Also, the complex information processing system at hand incorporates both normative and descriptive theories of certain human behavior. Finally, the results of some empirical explorations are followed by an account of present and planned activities.
machine learning gambling and bluffing game playing programs models of game learning