Emergence of symbolic behavior from brain like memory with dynamic attention

Emergence of symbolic behavior from brain like memory with dynamic attention
复制标题

具有动态注意力的类脑记忆中符号行为的出现

DOI:
10.1016/s0893-6080(99)00054-4
复制
发表时间:
1999
期刊:
Neural networks : the official journal of the International Neural Network Society
影响因子:
--
通讯作者:
M. Nishizaki
M. Nishizaki
中科院分区:
--
文献类型:
--
作者:
T. Omori;Akiko Mochizuki;K. Mizutani;M. Nishizaki

文献摘要

被引文献

相似文献

人类智能的一个重要特征是符号的使用。这在我们日常的语言使用和逻辑思维中可见一斑。然而,符号的使用并不局限于人类。我们观察了灵长类动物行为的计划动作序列和高等哺乳动物基于预测的动作。对于脑神经回路对符号的表示和运算,目前还没有具体的构造原理或计算理论。本文将大脑视为一个由联想记忆和动态注意系统组成的复合体,从信息表征和大脑运作两个假设出发,提出了一个与传统符号加工模型一致的原始符号行为产生模型。我们还描述了联想记忆中符号处理模型的计算理论。通过对移动机器人类语言记忆搜索和地图学习的计算机仿真研究,讨论了该模型的有效性。
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.