A system composed of multiple interacting components is capable of responding to contextual information and producing a higher range of non-linear responses to stimuli compared to...
Evolutionary systems based on genetic algorithms GAs are common nowadays. One of the recent uses of such systems is in the burgeoning eld of evolvable hardware which involves, amo...
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
This paper focuses on characteristics and applications of evolvable hardware (EHW) to space systems. The motivation for looking at EHW originates in the need for more autonomous ad...
Adrian Stoica, Alex S. Fukunaga, Ken Hayworth, Car...
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...