  This paper contains description of such knowledge representation model as
Object-Oriented Dynamic Network (OODN), which gives us an opportunity to
represent knowledge, which can be modified in time, to build new relations
between objects and classes of objects and to represent results of their
modifications. The model is based on representation of objects via their
properties and methods. It gives us a possibility to classify the objects and,
in a sense, to build hierarchy of their types. Furthermore, it enables to
represent relation of modification between concepts, to build new classes of
objects based on existing classes and to create sets and multisets of concepts.
OODN can be represented as a connected and directed graph, where nodes are
concepts and edges are relations between them. Using such model of knowledge
representation, we can consider modifications of knowledge and movement through
the graph of network as a process of logical reasoning or finding the right
solutions or creativity, etc. The proposed approach gives us an opportunity to
model some aspects of human knowledge system and main mechanisms of human
thought, in particular getting a new experience and knowledge.

Artificial Intelligence