An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Gendered voice and robot entities: perceptions and reactions of male and female subjects
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Introduction to Genetic Algorithms
Introduction to Genetic Algorithms
| Hi-index | 0.00 |
A population of male and female robots evolves in an environment in which to remain alive they must eat the food contained in the environment and to reproduce they must mate with a robot of the opposite sex. The only difference between male and female robots is that after mating males can mate again (reproductively) while females have a fixed period during which they are nonreproductive. The results show that males have a greater variance in reproductive success than females; they tend always to be very active looking for the ''scarce resource'' constituted by reproductive females and eating any food they are able to find while they are looking for reproductive females. Reproductive females are less active than males and they adopt the reproductive strategy of waiting for males to find and mate with them. In contrast, nonreproductive females are as active as males, but they only look for food and are not interested in anything else. We also find a number of differences between males and females in their preferences for different types of food, and in offspring care if males do not have parental certainty.