Abstract
We present an agent-based model of the key activities of a troop of chacma baboons (Papio hamadryas ursinus) based on the data collected at De Hoop Nature Reserve in South Africa. We analyse the predictions of the model in terms of how well it is able to duplicate the observed activity patterns of the animals and the relationship between the parameters that control the agent's decision procedure and the model's predictions. At the current stage of model development, we are able to show that across a wide range of decision parameter values, the baboons are able to achieve their energetic and social time requirements. The simulation results also show that decisions concerning movement (group action selection) have the greatest influence on the outcomes. Those cases where the model's predictions fail to agree with the observed activity patterns have highlighted key elements that were missing from the field data, and that would need to be collected in subsequent fieldwork. Based on our experience, we believe group decision making is a fertile field for future research, and agent-based modelling offers considerable scope for understanding group action selection.
Footnotes
One contribution of 15 to a Theme Issue ‘Modelling natural action selection’.
- © 2007 The Royal Society
Sign in for Fellows of the Royal Society
Fellows: please access the online journals via the Fellows’ Room
Not a subscriber? Request a free trial
Log in using your username and password
Log in through your institution
Pay Per Article - You may access this article or this issue (from the computer you are currently using) for 30 days.
Regain Access - You can regain access to a recent Pay per Article or Pay per Issue purchase if your access period has not yet expired.