In this paper, we use computational intelligence techniques to built quantitative models of player experience for a platform game. The models accurately predict certain key affecti...
Christopher Pedersen, Julian Togelius, Georgios N....
We present a tool for qualitative data discovery that aids researchers in analyzing synchronized log data with audio collected from multiple computers. The tool was originally dev...
William A. Hamilton, Zachary O. Toups, Andruid Ker...
Multi-agent systems are viewed as consisting of individual agents whose behaviors are regulated by organization artifacts. This abstract presents a programming language, which is d...
Flow composition languages permit the construction of longrunning transactions from collections of independent, atomic services. Due to environmental limitations, such transaction...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...