D.C. Noelle

Papers

Total Citations

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About

D.C. Noelle is a researcher whose work lies at the intersection of cognitive science, artificial intelligence, and robotics, with a particular focus on understanding and modeling intelligent behavior. A key contribution is their exploration of modular behavior control for cognitive robots, as demonstrated in their 2005 paper, which proposes a method for dynamically loading and combining a small set of behaviors in a "working memory" workspace to generate actions during task execution. This work leverages existing components within a broader cognitive robot architecture, such as the long-term memory system, to create flexible, adaptive control. While the specific citation count for this paper is modest (3 citations), it reflects foundational thinking in the field of cognitive robotics, emphasizing how biological principles of memory and modularity can inform artificial systems. Noelle’s research bridges computational modeling and psychological plausibility, offering insights into how minds—both human and machine—can organize complex behavior. Their work is particularly valuable for students and researchers interested in embodied cognition, cognitive architectures, and the integration of learning and memory in autonomous agents.