Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
With current trends towards moving variability from hardware to software, and given the increasing desire to postpone design decisions as much as is economically feasible, managin...
Rabih Bashroush, Ivor T. A. Spence, Peter Kilpatri...
This paper explores the use of process technology to create formal process models to increase the level of trust that stakeholders have in digital government. Digital Government s...
Lee Osterwil, Norman K. Sondheimer, Anthony Butter...
Certain problems in connection with, for example, cooperating agents and distributed systems require reasoning about time which is measured on incomparable or unsynchronized time ...
Social insects provide us with a powerful metaphor to create decentralized systems of simple interacting, and often mobile, agents. The emergent collective intelligence of social i...
Eric Bonabeau, Andrej Sobkowski, Guy Theraulaz, Je...