Weak Estimator-Based Stochastic Searching on the Line in Dynamic Dual Environments

Document Type

Article

Publication Date

7-1-2022

Abstract

Stochastic point location deals with the problem of finding a target point on a real line through a learning mechanism (LM) with the stochastic environment (SE) offering directional information. The SE can be further categorized into an informative or deceptive one, according to whether ${p}$ is above 0.5 or not, where ${p}$ is the probability of providing a correct suggestion of a direction to LM. Several attempts have been made for LM to work in both types of environments, but none of them considers a dynamically changing environment where ${p}$ varies with time. A dynamic dual environment involves fierce changes that frequently cause its environment to switch from an informative one to a deceptive one, or vice versa. This article presents a novel weak estimator-based adaptive step search solution, to enable LM to track the target in a dynamic dual environment, with the help of a weak estimator. The experimental results show that the proposed solution is feasible and efficient.

Identifier

85107224455 (Scopus)

Publication Title

IEEE Transactions on Cybernetics

External Full Text Location

https://doi.org/10.1109/TCYB.2021.3059939

e-ISSN

21682275

ISSN

21682267

PubMed ID

34033553

First Page

6109

Last Page

6118

Issue

7

Volume

52

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