Simulating a Team Behaviour of Affective Agents Using Robocode

Abstract

The study of the impact of emotion and affect in decision making processes involved in a working team stands for a multi-disciplinary issue (e.g. with insights from disciplines such as Psychology, Neuroscience, Philosophy and Computer Science). On the one hand, and in order to create such an environment we look at a team of affective agents to play into a battlefield, which present different emotional profiles (e.g. personality and mood).On the other hand, to attain cooperation, a voting mechanism and a decision-making process was implemented, being Robocode used as the simulation environment. Indeed, the results so far obtained are quite satisfying; the agent team performs quite well in the battlefield and undertakes different behaviours depending on the skirmish conditions.

Agent-based Human Group Affective State Modelling

“…To improve the system's performance. In this group, the Thesis reviews and analyses the following studies: GEmA CME and its extensions (Kazemifard et al, 2012) and Robocode implemented agent teams (Rebelo et al, 2015). The reviewed studies overall lead to two conclusions: (1) believable behaviour of agents is necessary for multiple applications and (2) there are many affective models but there are no current reviews of those models and related good practices.…”