A Genetic and Social Computational Model for the Emergence of Skill-Based Agent Specialization
There are several methods that lead to the emergence of specialization in agent societies. Two such methods are the Genetic Threshold Model (GTM) and the Social Inhibition Model (SIM). Based on the premises of these models, such as the availability of social networks, or the presence of genetic thresholds, it is difficult to compare results across these models. We present a model that can mimic both these models, while aiming to increase the effect of agent skill on task choice when agents possess different aptitudes for tasks. Using a metric that quantifies the quality of work performed, we are able to see meaningful increases in work quality, but with a side effect of reduced levels of specialization.
KeywordsHybrid Model Skill Level Task Choice Work Quality Maximum Threshold
Unable to display preview. Download preview PDF.
- 4.Cockburn, D., Kobti, Z.: Wasps: A weight-allocated social pressure system for the emergence of agent specialization. In: European Conference on Aritificial Life, pp. 161–167 (2011)Google Scholar
- 5.Jeanson, R., Fewell, J., Gorelick, R., Bertram, S.: Emergence of increased division of labor as a function of group size. Behavioral Ecology and Sociobiology (2007)Google Scholar
- 8.Gorelick, R., Bertram, S., Killeen, P., Fewell, J.: Normalized mutual entropy in biology: quantifying division of labor. American Naturalist 164, 678–682 (2004)Google Scholar