Combinatorial Decision Dags: A Natural Computational Model for General
  Intelligence
  A novel computational model (CoDD) utilizing combinatory logic to create
higher-order decision trees is presented. A theoretical analysis of general
intelligence in terms of the formal theory of pattern recognition and pattern
formation is outlined, and shown to take especially natural form in the case
where patterns are expressed in CoDD language. Relationships between logical
entropy and algorithmic information, and Shannon entropy and runtime
complexity, are shown to be elucidated by this approach. Extension to the
quantum computing case is also briefly discussed.
