Behavioral simulation of artificial organisms

The objective of this work is to analyze a simulation environment that uses agents that ideally behave like living creatures. These agents aim to survive, and they achieve this by learning about their surroundings and identifying dangers. The work is divided into two parts. The first part is characterized by the implementation of the agent simulation software and its learning rules. The second part is an analysis of the results obtained by the agents over time in a set of simulations, based on concepts such as life expectancy and the use of lessons learned from previous generations of agents.