Emergence of symbolic behavior from brain like memory with dynamic attention.

An important feature of human intelligence is the use of symbols. This is seen in our daily use of language and logical thinking. However, the use of symbols is not limited to humans. We observe planned action sequences in primate behavior and prediction-based action in higher mammals. For the representation and operation of symbols by the brain neural circuit, no specific construction principle or computational theory is known so far. In this paper, we regard the brain as a complex of associative memory and dynamic attentional system, and starting from two hypotheses on information representation and operation in the brain, we propose a model of primitive symbolic behavior emergence that is consistent with the conventional symbolic processing model. We also describe a computational theory of the symbolic processing model in associative memory. Through computer simulation studies on a language-like memory search and map learning by a moving robot, we discuss the validity of the model.