12 citations · 49 across the 8 of their papers we have counts for
8 papers
Theoretical Analysis of Resource-Induced Phase Transitions in Estimation Strategies
Takehiro Tottori, Tetsuya J. Kobayashi
Organisms adapt to volatile environments by integrating sensory information with internal memory, yet their information processing is constrained by resource limitations. Such limi…
Theory for Optimal Estimation and Control under Resource Limitations and Its Applications to Biological Information Processing and Decision-Making
Takehiro Tottori, Tetsuya J. Kobayashi
Despite being optimized, the information processing of biological organisms exhibits significant variability in its complexity and capability. One potential source of this diversit…
Resource Limitations induce Phase Transitions in Biological Information Processing
Takehiro Tottori, Tetsuya J. Kobayashi
Biological information processing manifests a huge variety in its complexity and capability among different organisms, which presumably stems from the evolutionary optimization und…
Pontryagin's Minimum Principle and Forward-Backward Sweep Method for the System of HJB-FP Equations in Memory-Limited Partially Observable Stochastic Control
Takehiro Tottori, Tetsuya J. Kobayashi
Memory-limited partially observable stochastic control (ML-POSC) is the stochastic optimal control problem under incomplete information and memory limitation. In order to obtain th…
Mean-Field Control Approach to Decentralized Stochastic Control with Finite-Dimensional Memories
Takehiro Tottori, Tetsuya J. Kobayashi
Decentralized stochastic control (DSC) considers the optimal control problem of a multi-agent system. However, DSC cannot be solved except in the special cases because the estimati…
Memory-Limited Partially Observable Stochastic Control and its Mean-Field Control Approach
Takehiro Tottori, Tetsuya J. Kobayashi
Control problems with incomplete information and memory limitation appear in many practical situations. Although partially observable stochastic control (POSC) is a conventional th…
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP
Takehiro Tottori, Tetsuya J. Kobayashi
Decentralized partially observable Markov decision process (DEC-POMDP) models sequential decision making problems by a team of agents. Since the planning of DEC-POMDP can be interp…
Robustness against additional noise in cellular information transmission
Takehiro Tottori, Masashi Fujii, Shinya Kuroda
Fluctuations in intracellular reactions (intrinsic noise) reduce the information transmitted from an extracellular input to a cellular response. However, recent studies have demons…