The Open Cog Framework -- Knowledge Representation Using the Atomspace -- Representing Procedural Knowledge -- Emotion, Motivation, Attention and Control -- Attention Allocation -- Economic Goal and Action Selection -- Integrative Procedure Evaluation -- Perceptual and Motor Hierarchies -- Integrating Cog Prime with a Compositional Spatiotemporal Deep Learning Network -- Making DeSTIN Representationally Transparent -- Bridging the Symbolic/Subsymbolic Gap -- Procedure Learning as Program Learning -- Learning Procedures via Imitation, Reinforcement and Correction -- Procedure Learning via Adaptively Biased Hillclimbing -- Probabilistic Evolutionary Procedure Learning -- Probabilistic Logic Networks -- Spatio-Temporal Inference -- Adaptive, Integrative Inference Control -- Pattern Mining. -- Speculative Concept Formation -- Dimensional Embedding -- Mental Simulation and Episodic Memory -- Integrative Procedure Learning -- Map Formation -- Communication Between Artificial Minds -- Natural Language Comprehension -- Language Learning via Unsupervised Corpus Analysis -- Natural Language Generation -- Embodied Language Processing -- Natural Language Dialogue -- Summary of Argument for the Cog Prime Approach.