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• 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.