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In this paper we consider optimization as an approach for quickly andflexibly developing hybrid cognitive capabilities that are efficient, scalable,and can exploit knowledge to improve solution speed and quality. In thiscontext, we focus on the Three-Weight Algorithm, which aims to solve generaloptimization problems. We propose novel methods by which to integrate knowledgewith this algorithm to improve expressiveness, efficiency, and scaling, anddemonstrate these techniques on two example problems (Sudoku and circlepacking).

Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing