With humans interacting with AI-based systems at an increasing rate, it is
necessary to ensure the artificial systems are acting in a manner which
reflects understanding of the human. In the case of humans and artificial AI
agents operating in the same environment, we note the significance of
comprehension and response to the actions or capabilities of a human from an
agent's perspective, as well as the possibility to delegate decisions either to
humans or to agents, depending on who is deemed more suitable at a certain
point in time. Such capabilities will ensure an improved responsiveness and
utility of the entire human-AI system. To that end, we investigate the use of
cognitively inspired models of behavior to predict the behavior of both human
and AI agents. The predicted behavior, and associated performance with respect
to a certain goal, is used to delegate control between humans and AI agents
through the use of an intermediary entity. As we demonstrate, this allows
overcoming potential shortcomings of either humans or agents in the pursuit of
a goal.

研究人工智能系统和人类在同一环境下应怎样理解和相应对方行为，通过认知模型预测双方行为并通过中介控制实现目标的达成。