Research in learning and planning in real-time strategy (RTS) games is very interesting in several industries such as military industry, robotics, and most importantly game industr...
Ibrahim Fathy, Mostafa Aref, Omar Enayet, Abdelrah...
—High level conceptual thought seems to be at the basis of the impressive human cognitive ability. Classical topdown (Logic based) and bottom-up (Connectionist) approaches to the...
While there are many useful models of agents and multi-agent systems, they are typically defined in an informal way and applied in an ad-hoc fashion. Consequently, multi-agent sys...
Vincent Hilaire, Olivier Simonin, Abder Koukam, Ja...
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...