Decentralized Stochastic Control with Finite-Dimensional Memories: A Memory Limitation Approach [PDF]
Entropy, 2023 Decentralized stochastic control (DSC) is a stochastic optimal control problem consisting of multiple controllers. DSC assumes that each controller is unable to accurately observe the target system and the other controllers.
Takehiro Tottori, Tetsuya J. Kobayashi
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Cardiometabolic risk factors and multidomain functional, cognitive, and sensory impairments among tribal adults aged 45 years and above in India: evidence to inform healthy aging policy [PDF]
Frontiers in Public HealthBackgroundEvidence on functional, cognitive, and sensory impairments among aging tribal populations in India is inadequate, limiting the effectiveness of ongoing public health policies and programmes aimed at healthy aging and equity.
U. Venkatesh +4 more
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Memory-Limited Partially Observable Stochastic Control and Its Mean-Field Control Approach
Entropy, 2022 Control problems with incomplete information and memory limitation appear in many practical situations. Although partially observable stochastic control (POSC) is a conventional theoretical framework that considers the optimal control problem with ...
Takehiro Tottori, Tetsuya J. Kobayashi
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Entropy, 2023 Memory-limited partially observable stochastic control (ML-POSC) is the stochastic optimal control problem under incomplete information and memory limitation.
Takehiro Tottori, Tetsuya J. Kobayashi
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Graph-Based Token Replay for Online Conformance Checking
IEEE Access, 2022 Conformance checking detects deviations in business process executions. An online detection method is needed to give immediate response to anticipate possible impacts.
Indra Waspada +4 more
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“A Memory within Change Itself.” Bergson and the Memory Theory of Temporal Experience
Bergsoniana, 2021 This paper examines Bergson’s position concerning the relation between memory and the immediate experience of change. I argue that Bergson’s view, which has not been discussed in significant detail in the literature, can shed new light upon recent ...
Yaron Wolf
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Uncovering Hidden Insights with Long-Memory Process Detection: An In-Depth Overview
Risks, 2023 Long-memory models are frequently used in finance and other fields to capture long-range dependence in time series data. However, correctly identifying whether a process has long memory is crucial.
Hossein Hassani +2 more
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Collective memory: An hourglass between the collective and the individual
Memory, Mind & Media, 2022 Collective memories are memories shared by a group that influence their social identity. The goal of this paper is to focus on two major limitations in current studies on collective memory and show how the hourglass metaphor can overcome those ...
Aline Cordonnier +3 more
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One out-of-core block solving method of large-scale linear equations [PDF]
MATEC Web of Conferences, 2020 The huge amount of memory is needed for solving the large-scale linear equations. However, many problems can not be calculated due to the limitation of the computer’s physical memory.
Xu Xiaofei, Wu Zongqing
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NeuroImage, 2021 Subsequent memory paradigms allow to identify neural correlates of successful encoding by separating brain responses as a function of memory performance during later retrieval.
Joram Soch +12 more
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