Information processing and human sequential predictive behaviour

Human sequential predictive behaviour is analysed in relation to information theory and information processing theory. The problem consists of the sequential prediction of stochastic-ergodic series of symbols. These sequences are described in terms of information theory (objective structure of the task) and the problem solving process in terms of information processing theory (problem space). The predictions of the behaviour of Ss, deduced from task environment and problem space, are confirmed by statistical analyses of the observed experimental behaviour of Ss. The necessity of further research on this and related problems is emphasized.