Theory of Interaction, Insertion Modeling, and Cognitive Architectures

Abstract

The challenge of creating a real-life computational equivalent of the human mind is now attracting the attention of many scientific groups from different areas of cybernetics and Artificial Intelligence such as computational neuroscience, cognitive science, biologically inspired cognitive architectures etc. The paper presents a new cognitive architecture based on insertion modeling, which is one of the paradigms of a general theory of interaction, and a basis for multiagent systems development. This architecture is now under development on the base of Insertion Modeling System IMS, developed in Glushkov Institute of Cybernetics. Intelligent agent developed on a base of this architecture is represented as a multilevel insertion machine which realizes itself as a high level insertion environment. It has a center to evaluate the success of its behavior which is a special type agent that can observe the interaction of a system with external environment. The main goal of a system is achieving maximum success repeated. As an agent this machine is inserted into its external environment and has the means to interact with it. The internal environment of intelligent cognitive agent creates and develops its own model and the model of external environment. If the external environment contains other agents, they can be modeled by internal environment which creates corresponding machines and interprets those machines using corresponding drivers, comparing the behaviors of models and external agents. © Springer International Publishing Switzerland 2013.