Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
The inherent difficulty in supporting human usability in large control systems--such as building environmental and security systems--derives from the large diversity of components...
Robin R. Penner, Erik S. Steinmetz, Christopher L....
: Only about 5% of the companies which could profit from EDI actually use it. The main reason is that especially small and medium-sized enterprises (SMEs) try to avoid the consider...
In this paper we discuss some of the relations between cognition and emotion as exemplified by a particular type of agent architecture, the CogAff agent architecture. We outline a...
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...