We are investigating algorithms for automatically tracking and modeling the behavior of multiagent systems. We have selected social insects as research subjects because they can be observed in a laboratory environment and they provide a rich source of data for testing our algorithms.
Our goals are
- new multiagent science:
our observing technologies will provide a wealth of data for testing and developing multiagent observation algorithms. We envision a multiagent system (multiple cameras and computers) observing multiagent systems (insects, people). - new biological science:
we can use the technologies developed in our lab to substantially advance the state of knowledge of social insect behavior.
To accomplish these goals we are conducting long-term observation of captive ant colonies in our lab, and in collaboration with the Carnegie Museum of Natural History.
current head
current staff
current contact
past staff
- Tucker Balch
- Gal Kaminka
- Patrick Riley
- Rande Shern