Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...
This work presents a neural model of self-localisation implemented on a simulated mobile robot with a realistic visual input. A population of modelled place cells with overlapping...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
The adaptation of software technology to distributed environments is an important challenge today. In this work we combine parallel and distributed search. By this way we add the ...
In the Bayesian approach to sequential decision making, exact calculation of the (subjective) utility is intractable. This extends to most special cases of interest, such as reinfo...
The workshop will explore in depth the nature of freedom and constraint in the creative process in digital fine art from the perspective of embodied mind. The problem is crucial t...
John Haworth, Sue Gollifer, James Faure Walker, Pa...