Human intelligence requires decades of full-time training before it can be reliably utilised in modern economies. In contrast, AI agents must be made reliable but interesting in r...
As robots become more complex by incorporating dynamic stability or greater mechanical degrees of freedom, the difficulty of developing control algorithms directly on the robot in...
The Mobile Agent (MA) paradigm seems to be a promising solution for the design and development of distributed value-added services. However, mobility has added complexity to the d...
Antonio Corradi, Rebecca Montanari, Gianluca Tonti...
This paper investigates theoretically based instructional approaches for organizational training, education and knowledge acquisition for simulation modeling. It proposes differen...
Tajudeen A. Atolagbe, Vlatka Hlupic, Simon J. E. T...
In this paper, we explore a hybrid global/local search optimization framework for dynamic voltage scaling in embedded multiprocessor systems. The problem is to find, for a multipr...