|
Development of negotiation tactics by artificial intelligent reflexive agents
S. V. Listopad Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119133, Russian Federation
Abstract:
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.
Keywords:
team of specialists, reflection, negotiations, hybrid intelligent multiagent system.
Received: 30.01.2024
Citation:
S. V. Listopad, “Development of negotiation tactics by artificial intelligent reflexive agents”, Sistemy i Sredstva Inform., 34:1 (2024), 92–101
Linking options:
https://www.mathnet.ru/eng/ssi927 https://www.mathnet.ru/eng/ssi/v34/i1/p92
|
Statistics & downloads: |
Abstract page: | 9 | Full-text PDF : | 16 | References: | 1 |
|