Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
This paper extends the framework of dynamic influence diagrams (DIDs) to the multi-agent setting. DIDs are computational representations of the Partially Observable Markov Decisio...
Abstract -- Telecommunication network management applications often require application-specific ICs that use large dynamically allocated stored data structures. Currently availab...
Gjalt G. de Jong, Bill Lin, Carl Verdonck, Sven Wu...
In this paper, we propose a dynamic pricing strategy which is used for a market-based resource allocation mechanism in a local Grid. We implement an agent based Grid economy in whi...
The problem we deal with in this paper is the dynamic substitution of stateful services that become unavailable during the execution of service orchestrations. Previous research e...