Current approaches to adaptive game AI require either a high quality of utilised domain knowledge, or a large number of adaptation trials. These requirements hamper the goal of rap...
Sander Bakkes, Pieter Spronck, H. Jaap van den Her...
This paper proposes an approach to automatically adapt game AI to the environment of the game (i.e., the socalled map). In the approach, a particular map is first analysed for sp...
Laurens van der Blom, Sander Bakkes, Pieter Spronc...
Video games provide a rich testbed for artificial intelligence methods. In particular, creating automated opponents that perform well in strategy games is a difficult task. For in...
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
Responsive Adaptive Display Anticipates Requests (RADAR) is a domain general system that learns to highlight an individual's preferred information displays, given the current ...