  In this paper, we conduct a literature review of laws of motion based on
stochastic search strategies which are mainly focused on exploring highly
dynamic environments. In this regard, stochastic search strategies represent an
interesting alternative to cope with uncertainty and reduced perceptual
capabilities. This study aims to present an introductory overview of research
in terms of directional rules and searching methods mainly based on
bio-inspired approaches. This study critically examines the role of animal
searching behavior applied to random walk models using stochastic rules and
kinesis or taxis. The aim of this study is to examine existing techniques and
to select relevant work on random walks and analyze their actual contributions.
In this regard, we cover a wide range of displacement events with an
orientation mechanism given by a reactive behavior or a source-seeking
behavior. Finally, we conclude with a discussion concerning the usefulness of
using optimal foraging strategies as a reliable methodology.
