Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
There is a large disparity between the rich physical interfaces of co-located arcade games and the generic input devices seen in most home console systems. In this paper we argue ...
Edward Tse, Saul Greenberg, Chia Shen, Clifton For...
: The topological pressure of dynamical systems theory is examined from a computability theoretic point of view. It is shown that for sofic shift dynamical systems, the topological...
Background: A mathematical model to understand, predict, control, or even design a real biological system is a central theme in systems biology. A dynamic biological system is alw...
Software evolution is an inevitable process when developing a system of any notable size and is the most costly stage in the life cycle of a system. Automating parts of this proces...