A.I. Panov
PhD in Physics and Mathematics, Federal research center «Computer science and control» of Russian Academy of Sciences, Research Scientist, 9, pr. 60-letiya Oktyabrya, Moscow, 117312, Russia, tel.: +7(499)135-04-63, This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
In this paper we consider specificity of space and time knowledge representation for the task of coordinated relocation of intelligent agents’ coalition. As a characteristic example the task in which the group of agents moves to the target area in environment with obstacles is proposed. The sign based approach to the agent’s knowledge description is considered. This approach uses psychological theory of activity and biologically inspired hierarchical model of recognition process. Special attention is paid to the actions description and learning procedures on the base of input data.
Key words
Knowledge representation, sign, hierarchy of state machines, cognitive processes, group relocation.
Year 2015 Issue number 4 Consecutive issue number 9 Pages 34-40
UDC identifier: 004.81:623.746.-519
