2021 Fiscal Year Annual Research Report
動的かつ不確実な環境下での適応的知覚と行動に関する研究
Project/Area Number |
19F19809
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Research Institution | Institute of Physical and Chemical Research |
Principal Investigator |
豊泉 太郎 国立研究開発法人理化学研究所, 脳神経科学研究センター, チームリーダー (50547461)
|
Co-Investigator(Kenkyū-buntansha) |
BALTIERI MANUEL 国立研究開発法人理化学研究所, 脳神経科学研究センター, 外国人特別研究員
|
Project Period (FY) |
2019-11-08 – 2022-03-31
|
Keywords | uncertainty |
Outline of Annual Research Achievements |
Uncertainty is quantified via Bayesian models of optimal behaviour, studying their relations to stochastic (thermo)dynamics in physics, symplectic structures in information geometry and goal-directed agents in optimal control/reinforcement learning via their consistent mathematical formulation. The project includes mathematical analysis and computational models of decision making mechanisms under uncertainty. This uncertainty is quantified via Bayesian models of optimal behaviour, studying their relations to stochastic (thermo)dynamics in physics, symplectic structures in information geometry and goal-directed agents in optimal control/reinforcement learning via their consistent mathematical formulation. Our work presents an analysis of an emergent framework in neuroscience, cognitive science and biology: the free energy principle. This framework is a popular way of describing behaviour and neural activity in terms of predictive models encoding information about the world. More recently, this mathematical framework has been proposed to account for models of individuality and origins of life, casting the definition of “individual” (or even “agent”) in terms of statistical separations from the outside world. Our paper provides an extensive review and analysis of mathematical assumptions, philosophical commitments and applications to neuroscience of this frameworks, identifying significant flaws that still remain at the moment.
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Research Progress Status |
令和3年度が最終年度であるため、記入しない。
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Strategy for Future Research Activity |
令和3年度が最終年度であるため、記入しない。
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Research Products
(3 results)