With the recent success of AlphaGo, computers now dominate the field
of classic board games. While many researchers have already broadened
their games-related research beyond the goal of achieving high
performance in traditional games, the recent achievement of this
milestone result makes it an appropriate time to reflect as a field on
what is next in AI in games. With this workshop we seek to bring the
broader AI community into this conversation. This workshop will
provide a place for AI researchers working in diverse areas such as
machine learning, neural networks, human-aware AI, goal planning,
robotics, and more to share their techniques and findings with those
working in games research and the games industry. In the meantime, it
provides a venue for game researchers to share their innovation and
reflect on current challenges with the broad AI community.
This workshop will consist of three main components: Peer-reviewed
paper presentations, invited talks on recent research, and short
position talks and a panel discussion on the future of AI in games. We
are particularly interested in seeing work that bridges between
research communities, applying new approaches or applying work in new
or novel domains. Anyone with an interest in AI and Games should
consider submitting to or attending this workshop.
Workshop Organizers
Nathan R Sturtevant, University of Denver
Aaron Isaksen, NYU
Julian Togelius, NYU
Jichen Zhu, Drexel University