Consciousness as Data Assimilation by Prof. Doya (OIST)

Speaker: Prof. Kenji Doya, Okinawa Institute of Science and Technology
https://groups.oist.jp/ncu/kenji-doya

Abstract:
Data assimilation is presently the most successful framework in weather forecasting and other real-time dynamic prediction based on the principle of dynamic Bayesian inference. A critical issue in simulation and prediction of large-scale real-world systems is how to set the initial state, which is only sparsely and noisily observable. Data assimilation combines a tentative prediction by a stochastic dynamic model with whatever available multi-sensory observations to better estimate the present and past states and the parameters of the system, and utilize them for better future predictions.
Here I postulate that data assimilation provides the best analogy for our consciousness, including intrinsic dynamics, multi-sensory integration, prediction, postdiction, and learning.
Data assimilation model of the consciousness may further allow us to answer TInbergen’s four questions: not only “How does it work?” (mechanism) and "How does it develop?" (ontogeny), but also "What is it for?" (function) and "How did it evolve?" (phylogeny).
I will introduce recent efforts to delineate the cognitive and neuronal mechanisms of mental simulation and discuss how they can contribute to better understanding of consciousness, or render the neuroscience of consciousness like the biology of soul.
Presentation slides: https://drive.google.com/file/d/1vIu9WtE2yTZ-g7CEOq2BrG6sCHdT5IgL/view?usp=sharing

Additional information:
- Correspondence and Fusion of Artificial Intelligence and Brain Science
http://www.brain-ai.jp/
- Initiative for a Synthesis in Studies of Awareness: ISSA
https://issanetwork.org/
- Okinawa Computational Neuroscience Course (OCNC) 2019
Dynamic Bayesian Model
https://groups.oist.jp/ncu/courses
- Piet Hut
https://www.ias.edu/scholars/hut

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