Rough Petri nets model (RPNM) for knowledge representation, rule generation, and reasoning is presented in this paper. An algorithm for verifying the consistency of a rough knowle...
We comment on the learning properties of the fuzzy backpropagation algorithm introduced in Stoeva and Nikov (Fuzzy Sets and Systems 112 (2000) 27). c 2001 Elsevier Science B.V. Al...
In search for “realistic” bio-inspired computing models, we consider asynchronous spiking neural P systems, in the hope to get a class of computing devices with decidable prope...
Cyber-physical systems increasingly rely on dynamically adaptive programs to respond to changes in their physical environment; examples include ecosystem monitoring and disaster r...
Global illumination researchers tend to think in terms of mesh density and sampling frequency, and their software reflects this in its user interface. Advanced rendering systems a...