This research area drives how to use the knowledge sharing between multiple agents in nature to solve complex scientific problems. The goal of this research topic is to advance the computing systems through understanding the concepts of nature and its behaviors.
This research aims to show that the patterns of neural activity in a single brain are mirrored in the way we represent and grow knowledge as a society. This suggests that the mechanism for creating knowledge isn't limited to an individual's neurons. Instead, it seems that knowledge can exist as an independent, self-organizing system that can be seen in our collective output.
An overlooked aspect of tree networks is their capacity to process information and make decisions about resource allocation, much like a biological neural network. This study demonstrates that the network connecting trees is used for knowledge processing to prioritize the entire forest's resource optimization over that of a single tree.
This topic explores how robots enhance their performance by optimizing task execution through the sharing of knowledge. It examines mechanisms and strategies that allow robots to learn from each other, improve their efficiency, and collaboratively achieve their goals more effectively.