The increasing use of discrete simulation in modelling large and complex systems brings new challenges. One such challenge is the need to devise ways of developing modular approac...
The universal underlying assumption made today is that Systems on chip must maintain 100% correctness regardless of the application. This work advocates the concept that some appl...
Fadi J. Kurdahi, Ahmed M. Eltawil, Amin Khajeh Dja...
Hebbian learning has been a staple of neural-network models for many years. It is well known that the most straight-forward implementations of this popular learning rule lead to u...
This paper proposes a subjective map representation that enables a robot in a multiagent system to make decisions in a dynamic, hostile environment. A typical situation can be fou...
FLUX is a programming method for the design of agents that reason logically about their actions and sensor information in the presence of incomplete knowledge. The core of FLUX is...