Narrow Results

The challenge of programming many-core architectures efficiently and effectively requires models and methods to co-design chip architectures and their software tool chain, using an approach that is both vertical and general. In this paper, we present compilation schemes for a general model of concurrency captured in a parallel language designed for system-level programming and as a target for higher level compilers. We also expose the challenges of integrating these transformation rules into a sequential-oriented compiler. Moreover, we discuss resource mapping inherent to those challenges. Our aim has been to reuse as much of the existing sequential compiler technology as possible in order to harness decades of prior research in compiling sequential languages.

The aim of this chapter is to refine some questions regarding AI, and to provide partial answers to them. We analyze the state of the art in designing intelligent systems that are able to mimic human complex activities, including acts based on artificial consciousness. The analysis is performed to contrast the human cognition and behavior to the similar processes in AI systems. The analysis includes elements of psychology, sociology, and communication science related to humans and lower level beings. The second part of this chapter is devoted to human-human and man-machine communication, as related to intelligence. We emphasize that the relational aspects constitute the basis for the perception, knowledge, semiotic and communication processes. Several consequences are derived. Subsequently, we deal with the tools needed to endow the machines with intelligence. We discuss the roles of knowledge and data structures. The results could help building "sensitive and intelligent" machines.