Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...
Abstract The tcc model is a formalism for reactive concurrent constraint programming. In this paper we propose a model of temporal concurrent constraint programming which adds to t...
Abstract. This paper presents a formal framework within which autonomous agents can dynamically select and apply different mechanisms to coordinate their interactions with one ano...
Rachel A. Bourne, Karen Shoop, Nicholas R. Jenning...
: This paper describes a knowledge model for a configuration problem in the domain of traffic control. The goal of this model is to help traffic engineers in the dynamic selection ...
CT How can an adaptive intelligent interface decide what particular action to perform in a given situation, as a function of perceived properties of the user and the situation? Ide...