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...
Production of reliable and flexible distributed applications is a growing area of interest and research. Various middleware technologies are often used as the communication infras...
In this paper, we present a consensus model for multiperson decision making (MPDM) problems with different preference structures based on two consensus criteria: 1) a consensus mea...
Enrique Herrera-Viedma, Francisco Herrera, Francis...
Training teams is an activity that is expensive, time-consuming, hazardous in some cases, and can be limited by availability of equipment and personnel. In team training, the focus...
Michael S. Miller, Jianwen Yin, Richard A. Volz, T...
This session will explore the reasons for the lack of impact in four important areas in which AI has been expected to significantly affect real world Software Engineering. The pan...