Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Artificial Societies: The Computer Simulation of Social Life
Artificial Societies: The Computer Simulation of Social Life
A co-evolutionary epidemiological model for artificial life and death
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Adaptive learning application of the MDB evolutionary cognitive architecture in physical agents
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Artificial life, death and epidemics in evolutionary, generative electronic art
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
| Hi-index | 0.00 |
Ethics has traditionally been the domain of philosophers, pursuing their investigations a priori, since social experimentation is not an option. After Axelrod's work, artificial life (ALife) methods have been applied to social simulation. Here we use an ALife simulation to pursue experiments with ethics. We use a utilitarian model for assessing what is ethical, as it offers a computationally clear means of measuring ethical value, based on the utility of outcomes. We investigate the particular action of altruistic suicide fostering the survival of others, demonstrating that suicide can be an evolutionarily stable strategy (ESS).