As part of an investigation of scalable development techniques for systems written in the JavaTM programming language, the Forest Project is building JP, a prototype distributed pr...
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
While the Belief, Desire, Intention (BDI) framework is one of the most influential and appealing approaches to rational agent architectures, a gulf often exists between the high-l...
: Most cooperation support systems require information about the organisational context in which they are used. This is particularly required when systems are used in a large organ...