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Common Model of Cognition

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The Common Model of Cognition (originally known as "Standard Model of Mind")[1] represents an attempt by John E. Laird, Christian Lebiere and Paul Rosenbloom to unify the main insights and results coming from 40 years of research in the field of cognitive architectures [2] in a common model to be used as a blueprint for the research in computational cognitive science, neuroscience, robotics and artificial intelligence.

The model consists in an abstraction, obtained from some of the cognitive architectures SOAR, ACT-R and SIGMA, about the underlying common architectural elements that humanlike minds should have. This abstraction is based on the consensus reached in the community along decades of research and on the convergence reached by these three systems that, despite starting from different assumptions about the architecture of human cognition, have converged towards some interesting commonalities. The areas of consensus reached by such diverse architecture have been grouped into different levels of analysis: i) the Structure and Processing mechanisms of intelligent minds, ii) the Memory and Content storage and retrieval mechanisms; iii) the Learning processes and iv) the Perception and Motor Mechanisms determining intelligent behavior.

The Common Model of Cognition, currently represents a platform for developing interdisciplinary research in AI [3] , Cognitive Science, Neuroscience [4] and Robotics. Different proposals to refine the model in different areas have been advanced [5]

See also[edit]

References[edit]

  1. Laird, J., Lebiere, C., Rosenbloom, P. (2017). "Toward a common computational framework across artificial intelligence, cognitive science, neuroscience, and robotics". AI Magazine, 38(4), 13–26.
  2. Tsoruba, I., Tsotsos, J.K. (2020). "40 years of cognitive architectures: core cognitive abilities and practical applications". Artificial Intelligence Review, 53 (1), 17–94.
  3. Mohan, S. (2021). "Exploring the role of Common Model of Cognition in designing adaptive coaching interactions for health behavior change". ACM Transactions on Interactive Intelligent Systems (TiiS), 11, (1), 1-30.
  4. Stocco, A., Sibert, C., Steine-Hanson, Z., Koh, N., Laird, J., Lebiere, C., Rosenbloom, P. (2021). Analysis of the human connectome data supports the notion of a 'Common Model of Cognition' for human and human-like intelligence across domains". Neuroimage, 235, 235, 118035.
  5. Samsonovich, A., Lebiere, C., (editors). (2016). "Papers on the Common Model of Cognition". Procedia Computer Science


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