Mathematical Foundations for Designing and Development of Intelligent Systems of Information Analysis
This foundational work aims to improve the design of artificial intelligent systems for information analysis, though it appears incremental in combining existing fields.
The paper tackles the problem of designing intelligent information analysis systems by integrating set theory, object-oriented programming, and artificial intelligence concepts, proposing definitions and methods for object and class creation and classification.
This article is an attempt to combine different ways of working with sets of objects and their classes for designing and development of artificial intelligent systems (AIS) of analysis information, using object-oriented programming (OOP). This paper contains analysis of basic concepts of OOP and their relation with set theory and artificial intelligence (AI). Process of sets and multisets creation from different sides, in particular mathematical set theory, OOP and AI is considered. Definition of object and its properties, homogeneous and inhomogeneous classes of objects, set of objects, multiset of objects and constructive methods of their creation and classification are proposed. In addition, necessity of some extension of existing OOP tools for the purpose of practical implementation AIS of analysis information, using proposed approach, is shown.