In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
Being proactive and vigilant is the best defense against identity theft and the invasion of privacy. This recurrent advice from the public broadcasting attests that security breac...
In this paper, we present a general framework for evaluating the performance characteristics of block cipher structures composed of S-boxes and Maximum Distance Separable (MDS) ma...
— Wireless sensor networks are increasingly being employed for potentially hazardous and critical applications such as monitoring the gas concentration levels in a battle field....
The modular representation of concerns is imperative in the design modeling of multi-agent systems (MASs). However, MAS designers typically face a number of concerns that inherent...
Alessandro F. Garcia, Christina Chavez, Ricardo Ch...