In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
In this paper, we show how to analyze bifurcation and limit cycles for biological systems by using an algebraic approach based on triangular decomposition, Gr¨obner bases, discrim...
Alerting systems and related decision-making automation are widely used to enhance the safety and capability of controlled processes across many applications. Traditional alerting ...
—A new abstract model of computation, the computational manifold, provides a framework for approaching the problems of consciousness, awareness, cognition and symbolic processing...
For effective cooperation, sharing of resources, a good social climate and therefore better learning, students need to maintain awareness of the social situation in a group or a c...