Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
Difficult real-time AI problems require a means for expressing multi-dimensional and dynamic goal criteria and a principled model for satisficing to best meet the criteria. In the...
—We propose an extension of van Lamsweerde’s goal-oriented requirements engineering to the domain of programmable DNA nanotechnology. This is a domain in which individual devic...
Robyn R. Lutz, Jack H. Lutz, James I. Lathrop, Tit...
Virtual teaming involving online presentations and peer reviews support the notion of collaborative student learning, whilst preparing them for the virtual work environment. Howev...