BIO-INSPIRED STRUCTURE AND ORGANIZATION FOR REACTIVE AGENTS IN ENVIRONMENTS WITH OBSTACLES AND REWARDS
The ability to understand the environment through information processing is a capacity that living beings acquired in the Cambrian period [542 and 488 mya]. Since then, we have been able to interact and react to the elements of the environment without change the structure and organization of our bodies.
Understanding how the nervous system is organized and structured is the main goal of investigation for many researchers. Be this investigation through the understanding and/or describe the observed phenomena, an interpretive approach, or just as inspiration for engineering purposes.
This work fits into the group of interpreters, since it seeks to understand what would be the minimum computational resources that a system, which mimics the biological, should have to pursue a specific objective in an environment with obstacles.
A minimal structure is the starting point for the idea of how structures and organizations should evolve to respond to changes in the environment they are inserted.
In this way, a minimal computational structure was developed, following all the requirements of a biological neural system, capable of pursuing a specific objective in an environment with obstacles.