Conflict visual representation method in hybrid intelligent multiagent systems

Small collectives of experts, including specialists from different fields, effectively solve complex problems by analyzing them from different points of view and obtaining a better-integrated solution. A conflict in small collectives of experts can both lead to a deadlock in the decision-making process and generate positive changes: development of the group, diagnostics of relations, and consolidation of the group. A conflict breeds debate, the depth of which allows for more thoughtful and coordinated solutions. Such collectives of experts solve problems effectively. Thus, modeling of their work and possible conflict situation with managing it allows developing a decision-support method that is relevant to solving a complex problem. Visualization of a conflict situation makes appeared contradictions contrast and observable. In the research, the authors represent a collective of agents-experts in the form of an undirected weighted graph. The methods of graph visualization are considered. To visualize problem- and process-oriented conflicts within hybrid intelligent multiagent systems, the authors propose a method based on the spring model of graph drawing.