Development of negotiation tactics by artificial intelligent reflexive agents

The paper proposes a method for developing negotiation tactics by artificial heterogeneous intelligent agents of reflexive-active systems designed for computer modeling of reasoning in long-term teams of specialists in solving practical problems. Agents of such systems reflexively model each other's reasoning developing strategies and tactics for negotiating, while solving a problem, in accordance with the models of counterparties which ensures self-organization of agents in a strong sense without explicit centralized control. Thanks to these features, reflexive-active systems of artificial heterogeneous intelligent agents are able to take into account such properties of practical problems as heterogeneity, dynamism, and complexity similar to simulated teams of specialists.