Results 11 to 20 of about 24,006 (215)
Mathematics, 2022 The ability to track the changes of the surrounding environment is critical for humans and animals to adapt their behaviors. In high-dimensional environments, the interactions between each dimension need to be estimated for better perception and decision
Changbo Zhu +5 more
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IEEE Access, 2023 This work presents the method based on the Partially Observable Markov Decision Processes (POMDP) and consensus protocol. The main idea is to share the belief and reach the consensus on the belief state in order to improve local decision making.
Marijana Peti +2 more
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Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions
Entropy, 2021 A critical question relevant to the increasing importance of crowd-sourced-based finance is how to optimize collective information processing and decision-making.
Dhaval Adjodah +5 more
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How robust is the optimistic update bias for estimating self-risk and population base rates? [PDF]
PLoS ONE, 2014 Humans hold unrealistically optimistic predictions of what their future holds. These predictions are generated and maintained as people update their beliefs more readily when receiving information that calls for adjustment in an optimistic direction ...
Neil Garrett, Tali Sharot
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Off-Policy Meta-Reinforcement Learning With Belief-Based Task Inference
IEEE Access, 2022 Meta-reinforcement learning (RL) addresses the problem of sample inefficiency in deep RL by using experience obtained in past tasks for solving a new task.
Takahisa Imagawa +2 more
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Belief networks as comples systems
Limina, 2020 There has been extensive work on understanding belief, from a psycho-logical, philosophical and neurobiological perspective. Meanwhile, arti-ficial intelligence has produced compelling developments that can enrich and update the brain ...
Lumbreras, Sara, Oviedo, Lluis
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IET Radar, Sonar & Navigation, 2023 The multi‐sensor multiple‐model generalised labelled multi‐Bernoulli filter (MS‐MM‐GLMB) is presented for tracking multiple manoeuvring targets. And we develop efficient implementation for computing multi‐target posterior.
Chenghu Cao, Yongbo Zhao
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Gauging tensor networks with belief propagation
SciPost Physics, 2023 Effectively compressing and optimizing tensor networks requires reliable methods for fixing the latent degrees of freedom of the tensors, known as the gauge. Here we introduce a new algorithm for gauging tensor networks using belief propagation, a method
Joseph Tindall, Matt Fishman
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Radio Resource Allocation and Power Control Scheme in V2V Communications Network
IEEE Access, 2021 Reasonable resource management scheme is the premise to ensure system reliability and practicability of vehicle-to-vehicle (V2V) communications network. In this paper, spectrum resource allocation and power control scheme is studied. Firstly, the problem
Yanzhao Hou +4 more
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Four Approaches to Supposition
Ergo, An Open Access Journal of Philosophy, 2022 Suppositions can be introduced in either the indicative or subjunctive mood. There are also two types of judgments that may be initiated by suppositions of either sort: qualitative (binary) judgments and quantitative (numerical) ones.
Benjamin Eva +2 more
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