Visual language for modeling of synergy effect in hybrid intelligent multiagent systems

Solving problems by a hybrid intelligent multiagent system is a complex multistage process in which periods of agents' personal work on parts of the problem are followed by periods of negotiations and exchange of opinions. If a hybrid intelligent multiagent system is a black box for the user, the credibility of the results of its work is seriously reduced. To improve the transparency of the system and increase the trust of the user to its recommendations, the authors propose a visual language (alphabet, syntactic and semantic rules) which makes collective decisions and the resulting synergistic effect more visible.