This paper presents, fromthe author's perspective, the problems that occur in practice during data modelling. The author's experiences are a result of a considerable num...
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Over the years, many Artificial Intelligence (AI) approaches have dealt with the diagnosis problem and its application in complex environments such as medical domains. Model-Based...
We designed and implemented a software system, called WebCrow, that represents the first solver for Italian crosswords and the first system that tackles a language game using the...
Quantitative techniques have traditionally been used to assess software architectures. We have found that early in the development process there is often insufficient quantitative...