Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
Researches in psychology, perception and related fields show that there may be a two-stage process involved in human vision. In this paper, we propose an approach by following a t...
In this paper, we evaluate two different approaches for the compiler-based parallelisation of a C program for MPEG-2 decoding. The first approach experiments with a commercial auto...
Existing approaches on reliability assessment of the system have limitations such as performance entirely depends on expertise, knowledge of system analysts and computation of usa...