We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
The recognition of transitive, goal-directed actions requires a sensible balance between the representation of specific shape details of effector and goal object and robustness w...
Whenever multiple representations or models of a system exist, there is the possibility of defining how they relate. In model driven software development, it is essential that th...
The backup of large data sets is preferably performed automatically outside of regular working hours. In highly structured computer networks, however, faults and exceptions may rel...
The traditional representation of a program is as a linear sequence of text. At some stage in the execution sequence the source text is checked for type correctness and its transla...
Ronald Morrison, Richard C. H. Connor, Quintin I. ...