Intelligent automated systems are rapidly penetrating all areas of our life. To manage increasingly complex interactions with humans around, machines and algorithms often need to be able to anticipate the behavior of these humans. At AiTech, I explore ways to enable artificial agents to anticipate humans’ decisions using cognitive models of decision making, building up on the extensive body of knowledge elaborated in cognitive psychology and neuroscience. I believe that insights from these fields can help us to develop autonomous vehicles which would reliably predict the decisions of human agents during traffic interactions. The overarching goal of my work is to keep the complex interactions between humans and artificial agents under meaningful human control.
E-mail: a.zgonnikov at tudelft dot nl