• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>The Open Cybernetics & Systemics Journal >EMOTION-I Model: A Biologically-Based Theoretical Framework for Deriving Emotional Context of Sensation in Autonomous Control Systems
【24h】

EMOTION-I Model: A Biologically-Based Theoretical Framework for Deriving Emotional Context of Sensation in Autonomous Control Systems

机译：EMOTION-I模型：一种基于生物学的理论框架，可得出自主控制系统中的情感情感语境

获取原文
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A theoretical model for deriving the origin of emotional functions from first principles is introduced. The model, called “Emotional Model Of the Theoretical Interpretations Of Neuroprocessing”, abbreviated as the “EMOTION”, derives how emotional context can be evolved from innate responses. It is based on a biological framework for autonomous systems with minimal assumptions on the system or what emotion is. The first phase of the model (EMOTION- I) addresses the progressive abstraction of the sensory input signals within relevant context of the environment to produce the appropriate output actions for survival. It uses a probabilistic feedforward and feedback neural network with multiple adaptable gains, self-adaptive learning rate and modifiable connection weights to produce a self-organizing, selfadaptive system incorporating associative reinforcement learning rules for conditioning and fixation of circuitry into hardwire to form innate responses such that contextual feel of sensation is evolved as an emergent property known as emotional feel.
机译：介绍了从第一性原理推导情绪功能起源的理论模型。该模型被称为“神经加工理论解释的情感模型”，简称为“情感”，它衍生出如何从先天反应中演化出情感情境。它基于用于自治系统的生物学框架，对系统或情感的假设最少。该模型的第一阶段（EMOTION-I）解决了在环境的相关环境中对感觉输入信号的渐进抽象，以产生适当的输出动作以求生存。它使用具有多种适应性增益，自适应学习率和可修改连接权重的概率前馈和反馈神经网络来生成一个自组织，自适应系统，该系统结合了相关的强化学习规则，可将电路调节和固定到硬线中以形成先天响应，例如上下文的感觉逐渐演变为一种新兴的特性，即情感感觉。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号