On Intelligent Decision Making in Multiagent Systems in Conditions of Uncertainty

Abstract

The paper deals with the problem of decision making in a multi-agent environment. By the example of the problem of determining states in a partially observable world, the main stages of decision making in a multiagent environment are considered using a knowledge base based on predicate logic of the first order. A method for solving the problem, characterized by higher productivity compared to the classical one, is proposed. An intelligent information technology is proposed for integrating declarative languages using the example of Prolog with the NetLogo multiagent simulation environment, which is characterized by using the capabilities of the logic output mechanism of the Prolog language.