Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
We argue that a realistic model for quantum computations should be general with respect to measurements, and complete with respect to the information flow between the quantum and ...
Trigrams'n'Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we argue that a tagger based on Markov mod...
We argue that there is currently no satisfactory general framework for comparing the extensional computational power of arbitrary computational models operating over arbitrary doma...
Abstract. As part of ongoing work on evaluating Milner's bigraphical reactive systems, we investigate bigraphical models of context-aware systems, a facet of ubiquitous comput...