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.

[1]  A. Paivio.  Mental Representations: A Dual Coding Approach , 1986 .

[2]  Robert Hecht-Nielsen,et al.  A Theory of the Cerebral Cortex , 1998, ICONIP.

[3]  T. Shallice,et al.  The origins of utilization behaviour. , 1989, Brain : a journal of neurology.

[4]  T. Omori,et al.  PATON: a model of concept representation and operation in brain , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[5]  Takashi Omori,et al.  A Model of Logic Like Inference by Memory Model PATON , 1997, ICANN.

[6]  Frédéric Alexandre,et al.  Connectionist-Symbolic Integration: From Unified to Hybrid Approaches , 1996 .

[7]  K. Nakamura,et al.  Monkey hippocampal neurons related to spatial and nonspatial functions. , 1993, Journal of neurophysiology.

[8]  Stevan Harnad,et al.  Symbol grounding problem , 1990, Scholarpedia.

[9]  Edmund T. Rolls,et al.  Consciousness in Neural Networks? , 1997, Neural Networks.

[10]  Igor Aleksander,et al.  Impossible Minds: My Neurons, My Consciousness , 1996 .

[11]  Tim Shallice,et al.  Supervisory control of action and thought selection. , 1993 .

[12]  T. Omori.  Theory of symbol and pattern integration by associative memory with attention , 1996, 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (Cat. No.96TH8242).

[13]  Takashi Omori,et al.  A Model of Logical Inference Like Association by Distributed Pattern Memory , 1997, ICONIP.

[14]  J. Elman.  Learning and development in neural networks: the importance of starting small , 1993, Cognition.

[15]  P. Fenwick,et al.  Averaged and single‐trial analysis of cortical activation sequences in movement preparation, initiation, and inhibition , 1996, Human brain mapping.

[16]  Nikola Kasabov,et al.  Brain-like Computing and Intelligent Information Systems , 1998 .

[17]  Stephen Grossberg,et al.  A massively parallel architecture for a self-organizing neural pattern recognition machine , 1988, Comput. Vis. Graph. Image Process..