We formulate a fuzzy perceptive model for Markov decision processes with discounted payoff in which the perception for transition probabilities is described by fuzzy sets. Our aim...
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
Abstract. The resource limited nature of WSNs require that protocols implemented on these networks be energy-efficient, scalable and distributed. This paper presents an analysis of...
Automated software verification and path-sensitive program analysis require the ability to distinguish executable program paths from those that are infeasible. To achieve this, pro...
In decision making under risk, people prefer the risk aversive choices for gains and the risk seeking choices for losses. This paper presents an analysis describing that those cho...