Complex Dynamic Systems Theory for Cognitive Environment Approach

Abstract

Population Fluctuations (PF), Patch Variation (PV), and Food Webs (FW) are just a few of the areas where the Complex Dynamic Systems Theory (CDST) has made a significant impact on our understanding of the environment. Measures have been used to capture the variation between simple, disordered and ordered frameworks with local interactions that can generate surprising actions on a massive scale. But research shows that conventional explanations of convolution fail to take into account some major characteristics of ecological systems, an ideology that will limit the contributions of CDST to the entire ecosystem. In this paper, we have presented literature review of these characteristics of Environmental Convolution (EC), e.g. diversification, environmental variability, memory and cross-scale interactions, which progress to classical CDST. Advancements in these segments will be essential before CDST can be applicable in the comprehension of more vibrant systems in the environment.