Application of neural network to humanoid robots - development of co-associative memory model

Application of neural network to humanoid robots - development of co-associative memory model
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DOI:
10.1016/j.neunet.2005.06.021
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发表时间:
2005-06-01
期刊:
影响因子:
7.8
通讯作者:
Takanishi, A
Takanishi, A
中科院分区:
计算机科学1区
文献类型:
--
作者:
Itoh, K;Miwa, H;Takanishi, A

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自2002年以来,我们一直在研究一个由许多谐波振子(神经元)通过混沌力相互作用的系统。每个谐振子由混沌力驱动,混沌力的分岔参数由谐振子的位置调制。此外,还研究了一个相互耦合的混沌神经网络系统。在每个网络中存储不同的模式,并在这些网络中讨论联想记忆问题。每个网络都可以检索存储在另一个网络中的模式。另一方面,我们一直在为具有表达情感和以类似人类的方式与人类交流的能力的类人机器人开发新的机制和功能。提出了一个由心理空间、情绪、情感方程、机器人人格、需求模型、意识模型和行为模型组成的心理模型。这种类型的心智模型在情感表达类人机器人WE-4RII (Waseda Eye No.4 Refined II)中实现。本文提出了一种基于互耦混沌神经网络的联想记忆模型,用于根据刺激提取最佳记忆(识别)。我们在情感表达类人机器人We - 4rii (Waseda Eye No.4 Refined II)中实现了该模型。(c) 2005 Elsevier Ltd.。版权所有。
We have been studying a system of many harmonic oscillators (neurons) interacting via a chaotic force since 2002. Each harmonic oscillator is driven by chaotic force whose bifurcation parameter is modulated by the position of the harmonic oscillator. Moreover, a system of mutually coupled chaotic neural networks was investigated. Different patterns were stored in each network and the associative memory problem was discussed in these networks. Each network can retrieve the pattern stored in the other network.On the other hand, we have been developing new mechanisms and functions for a humanoid robot with the ability to express emotions and communicate with humans in a human-like manner. We introduced a mental model which consisted of the mental space, the mood, the equations of emotion, the robot personality, the need model, the consciousness model and the behavior model. This type of mental model was implemented in Emotion Expression Humanoid Robot WE-4RII (Waseda Eye No.4 Refined II).In this paper, an associative memory model using mutually coupled chaotic neural networks is proposed for retrieving optimum memory (recognition) in response to a stimulus. We implemented this model in Emotion Expression Humanoid Robot WE-4RII (Waseda Eye No.4 Refined II). (c) 2005 Elsevier Ltd. All rights reserved.