Functional Programming of Intelligent Systems

Abstract

The paper considers the problem associated with the possibility of functional programming of intelligent systems, which are based on the definition of intelligence as the ability to model the environment around the system in order to use this model to form the specified behavior of the system in this environment. Such behavior is considered as the result of a consistent solution of intermediate tasks, into which the general task is divided, determined by the goal set for the system. In the variant under consideration, the environment model is built on the basis of knowledge collected by the system or obtained from its knowledge base. Separate knowledge has a multi-element representation, making available for the user several tools for solving problems. The options proposed in his paper are: sets of properties, logical and ontological representations of individual components of the environment surrounding the system, and related associations of these components. It should be noted that various variants of logics can be incorporated into the system, including non-classical ones, on which the system builds its conclusions. In addition, the system can use various variants of mathematical structures that are stored in its knowledge base when building a model.

When developing an intelligent system, the methods and tools of functional design can be applied as a way to develop a specific system. In this work, this approach is applied on the example of the development of an intelligent military robot that operates in a specific subject area and solves the problem of defending and attacking a specific enemy.