Functional Programming of Intelligent Systems

Abstract

An intelligent system is a system that uses intelligence to shape its behavior in its environment. This intelligence depends on the following main factors: the first is the ability of the system to model the environment with which the system interacts. The second factor: using this model to successfully plan and solve problems that determine the behavior of the system in the environment in order to achieve the goals set for the system. Modeling of the environment is based on the use of knowledge about the environment and its components, which the system collects using its sensors and organs, as well as the knowledge base, which stores information previously collected or incorporated during the development of the system. This information in the form of knowledge uses various forms of mathematical structures that form the basis of the model, logic and ontology that are part of the knowledge representation. Problem solving applies either previous experience, or uses a logical conclusion, based on the logic embedded in the system during its development, or ontological description, included in the representation of knowledge and relationships between elements. When developing an intelligent system, you can apply the methods and tools of functional programming as a way to represent the development of a particular system, and analyze its capabilities and efficiency at the computational level.