Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Business processes must become agile, respond to changes in the business environment in a timely manner and quickly adapt themselves to new conditions. Event-Driven Business Proces...
Rainer von Ammon, Thomas Ertlmaier, Opher Etzion, ...
Activation Timed Influence Net (ATIN) is a term representing a progressively evolving sequence of actions, where the effects of an action become the preconditions of the action th...
Panayota Papantoni-Kazakos, Abbas K. Zaidi, M. Far...
Although many formalisms for reasoning about action and change have been proposed in the literature, any concrete examples provided in such articles have primarily consisted of ti...
Abstract. Consider an agent executing a plan with nondeterministic actions, in a dynamic environment, which might fail. Suppose that she is given a description of this action domai...
Thomas Eiter, Esra Erdem, Wolfgang Faber, Já...