Simulation of animal behavior using neural networks

In this paper, we simulated some basic animal behavior by letting it "evolve" through generations. The animals, which are able to survive, will be given the privilege to breed the new generation and pass the good genes to the next generation. Our simulation environment consisted of a Prey-...

Full description

Saved in:
Bibliographic Details
Main Authors: Sebastian Echegaray, S. S., Luo, Wenbin
Format: Conference Proceeding
Language:English
Subjects:
Animal behavior
Biological neural networks
Biological system modeling
Brain modeling
Evolution (biology)
Genetic algorithms
Genetic mutations
Neural networks
Neurons
Pattern recognition
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we simulated some basic animal behavior by letting it "evolve" through generations. The animals, which are able to survive, will be given the privilege to breed the new generation and pass the good genes to the next generation. Our simulation environment consisted of a Prey-Predator-Food model. The prey and predators created in our simulation are objects that have sensors to make them aware of their environment, and they are able to move freely around the world. The food sources are stationary objects placed randomly throughout the world, which serve as targets for prey to search for and eat.
DOI:10.1109/TPSD.2006.5507449