New Paradigm of Context based Programming-Learning of Intelligent Agent

Abstract

In this paper we propose new paradigm combining concepts "programming", "learning" and "context" for usage in development of control system of mobile robots and other intelligent agents in smart environment. And we suggest architecture of robot's control system based on context and learning with natural language dialog. The core of this architecture is associative memory for cross-modal learning. Main features and requirements for associative memory and dialog subsystem are formulated.