Abstract
Intelligent cooperation of agents/entities in autonomous robotics is a new and very exiting research field. If one plans/implements a cooperating robot system with intelligent behavior, not all scenarios appearing in the “life of robots” can be programmed in advance and thus effective, fast and compact communication is one of the most important cornerstones of the high-end cooperating system. Communication itself is very expensive so, generally speaking, it is much more advisable to build up as big as possible contextual knowledge bases and codebooks in distant on-board robot controller computers in order to shorten the communication process if it essentially reduces the amount of information that must be transmitted from one to another, than to concentrate all contextual knowledge in one of them and then to export its respective parts whenever they are needed in the other(s). It seems to be very important in the cooperation and communication of intelligent robots or physical agents that the information exchange among them is as effective and compressed as possible.
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