From a multiagent viewpoint, a workflow is a dynamic set of tasks performed by a set of agents to reach a shared goal. We show herein that commitments among agents can be used to ...
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
The process of sequential redundancy identification is the cornerstone of sequential synthesis and equivalence checking frameworks. The scalability of the proof obligations inhere...
Hari Mony, Jason Baumgartner, Alan Mishchenko, Rob...
: Business processes provide abstractions for modelling business protocols that define the correct interactions between two or more Web services (WS). It has been shown that it is ...