A systematic approach for developing a computable model for Gibson's affordance using finite state automata

We develop a computable model of Gibson's affordances based on the environmental action opportunities that are presented to a human operator within a human-machine system. This model considers the physical capabilities of the human as well as components of prospective control while eliciting the set of possible actions that may be realized into an actual action using a juxtaposition function. This model is developed using finite state automata and has implications toward the analysis and design of human-machine systems involving perceptually guided tasks, which could be used to provide a general representation of the rudiments of such a system.