A novel information measure for predictive learning in a social system setting
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
| Hi-index | 0.00 |
In society subsystems are formed to reduce uncertainty. Subsystems are composed by agents with a reduced behavioural complexity. For example in society there are people who produce goods and other who distribute them. In this paper we show that sub-systems emerge when the agents are able to learn and have the ability to communicate. Both the behaviour and communication is learned by the agent and is not imposed on the agent. Here the task is to collect food, keep it and eat it until sated. Every agent communicates its satedness state to neighbouring agents. This results in two subsystems where as agents in the first collect food and in the latter steal food from others. The ratio between the number of agents that belongs to the first system and to the second system, depends on the number of food resources which are limited in space and time.