The Causal Role of Sensory Information

This chapter investigates in a deep and principled manner how sensory information contributes to a noological system’s learning and formulation of causal rules that enables it to solve problems rapidly and effectively. The spatial movement to goal with obstacle problem is used to illustrate this process. The process is one of deep thinking and quick learning – the causal learning process requires few training instances, but extensive use is made of the many causal rules learned to reason out a solution to the problem involved. Heuristic learning and generalization emerge in the process as an aid to further accelerate problem solving.