In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
Cooperative design has been an integral part of many games. With the success of games like Left4Dead, many game designers and producers are currently exploring the addition of coo...
Magy Seif El-Nasr, Bardia Aghabeigi, David Milam, ...
We introduce Game networks (G nets), a novel representation for multi-agent decision problems. Compared to other game-theoretic representations, such as strategic or extensive for...
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
This paper is a call for research in the field of game engine architecture and design, a more comprehensive and thorough understanding of which we consider to be essential for its...
Eike Falk Anderson, Steffen Engel, Peter Comninos,...