Humans and Artificial Agents Learning Simultaneously
Dr. Jacob Crandall
Wed Jan 24, 09:30am-03:30pm, Room 33-319
Thu Jan 25, 09:30am-03:00pm, Room 33-319
Enrollment limited: first come, first served
Limited to 24 participants.
Participants requested to attend all sessions (non-series)
Advances in artificial learning are leading to more sophisticated and capable automated products. However, the benefits offered by these technologies are limited to our ability to use them. As such, attention must be given to how artificial learning affects human-machine interactions. In this class, we will overview challenges arising from situations in which automated agents and humans learn simultaneously. We will compare and contrast artificial learning methods with theories of human learning in multi-agent domains. We will study how humans and artificial agents learn and behave as they associate with each other. These topics will be presented through self experiments, lectures, and discussion.
Contact: Dr. Jacob Crandall, 33-407, x8-5046, jcrandal@mit.edu
Sponsor: Aeronautics and Astronautics
Latest update: 08-Jan-2007
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