What monkeys see and don't do: agent models of safe learning in primates

摘要

This paper describes a research program designed to use agent models to understand how primates incorporate new, learned behavior safely into their established, reliable behavior repertoires. We suggest that some of the findings in the primate learning literature that we currently find surprising may in fact reflect evolved solutions to the problem of safe learning in intelligent agents. We sketch an approach to trying to model this learning, with the expectation that our experience will also lead to insights into idioms and strategies for incorporating safe learning into artificial agents.