Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...
Abstract— This paper proposes a new way of trajectory generation for industrial manipulators. A real-time algorithm for the interpolation of synchronized and time-optimal manipul...
This paper presents our approach to model distributed discrete event simulation systems in the framework of distributed graph transformation. We use distributed typed attributed g...
Collaboration activities usually involve several people presenting different group tasks and requirements. Accordingly, collaboration is rarely supported by a single CSCW technolo...
We report on an experiment to implement an autonomous creature situated in a two-dimensional world, that shows various learning and problem-solving capabilities, within the Societ...