Biological systems are capable of acting in a shared environment to produce emergent, self-organized behavior that is the result of the constraints imposed by local interactions– such as bird flocking or ant swarming behavior. These examples present minimal demands for a shared-intention between co-actors, whereas other instances necessitate the formation of a shared goal. In these goal-directed tasks, how much of the observed complexity can be explained by the constraints imposed by both the environment and adherence to the shared task goal? This paper begins to investigate this question by presenting results from a two-person cooperative “shepherding” task first developed in Nalepka et al. (2017) but with fewer constraints. Results provide further evidence that the emergent behavior is the result of the constraints imposed by the task. The included task-dynamic model suggests a general model that can be used to understand multiagent herding behavior in a variety of contexts.
|Title of host publication||CogSci 2017|
|Subtitle of host publication||Proceedings of the 39th Annual Meeting of the Cognitive Science Society|
|Place of Publication||Austin, TX|
|Publisher||Cognitive Science Society|
|Number of pages||6|
|Publication status||Published - 2017|
|Event||Annual Meeting of the Cognitive Science Society (39th : 2017) - London, United Kingdom|
Duration: 26 Jul 2017 → 29 Jul 2017
|Conference||Annual Meeting of the Cognitive Science Society (39th : 2017)|
|Period||26/07/17 → 29/07/17|
- joint action
- collective herding
- task-dynamic modeling
Nalepka, P., Lamb, M., Kallen, R., Saltzman, E., Chemero, A., & Richardson, M. (2017). First step is to group them: task-dynamic model validation for human multiagent herding in a less constrained task. In CogSci 2017: Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp. 2784-2789). Austin, TX: Cognitive Science Society.