Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
As computer systems continue to grow in power and access more networked content and services, we believe there will be an increasing need to provide more user-centric systems that...
Temporal Networks play an important role in solving planning problems and they are also used, though not as frequently, when solving scheduling problems. In this paper we propose ...
In this paper, we demonstrate a policy based approach for building and managing large scale agent based systems. We identify different classes of policies for agent based componen...
Anand R. Tripathi, Devdatta Kulkarni, Tanvir Ahmed
Abstract. Complexity in software design refers to the difficulty in understanding and manipulating the set of concepts, models and techniques involved in the design process. Agents...