基于lda主题模型的实战_认知模型abcde_人工内分泌情感模型探讨

  本文关键词：人工内分泌情感模型研究，，由笔耕文化传播整理发布。

人工内分泌情感模型探讨

人工内分泌情感模型探讨

近年来,受到生物信息处理机制的启发,人们提出了很多重要的智能模型和技术生物信息处理系统主要包括神经系统免疫系统和内分泌系统,它们之间不仅存在大的回路,而且具有直接的相互作用,对生物体的生长发育和新陈代谢起着重要作用,共同维持着机体的正常生命活动人们受到神经系统和免疫系统生物机制的启发,已经分别提出了人工神经网络以及人工免疫系统,其理论模型算法和应用的成功研究充分显示出基于生物信息处理机制的人工智能模型研究具有十分重要的理论意 义和应用价值,并促使人们对包括内分泌系统在内的其他生物信息处理系统进行深入研究内分泌系统作为生物信息处理系统的重要组成部分,蕴含着高度复杂和极其独特的信息处理机制,主要包括激素调节机制信息传递机制和情感反应机制抽取生物内分泌系统所独有的信息处理机制,建立相应的模型算法具有重要的研究价值,已经成为人工智能研究领域的热点不足同时,情感作为人类智能中不可分割的组成部分,在人的感知推理决策创造和社交等诸多活动中起着不可缺少的作用随着脑科学心理学信息科学智能科学的蓬勃发展,很多科研工作者投入到人工情感情感计算虚拟现实等多个学科交叉研究的领域,相关理论及模型算法的研究对增强系统智能具有重要意 义研究发现,内分泌系统和情感并不是孤立存在的,它们之间具有相互作用,内分泌系统对情感具有重要的调节作用,而情感也会对内分泌系统造成难以忽略的影响本文在深入研究和浅析浅析生物内分泌系统的基础上,进行了人工内分泌情感模型研究具体而言,本文的主要工作包括:一从信息处理角度出发,研究生物内分泌系统的基本功能和作用机制,浅析浅析和总结其独特的功能特点,为人工内分泌系统模型的研究提供理论依据和指导二在浅析浅析生物内分泌系统调节机制的基础上,提出一种基于激素调节的情感模型该模型中,内分泌系统对情感进行调节,能够避开智能体的情感状态发生突变,从而能够做出有效的行为决策,提高其在复杂动态变化环境中的存活能力仿真实验验证了模型及算法的有效性三借鉴内分泌系统的情感反应机制,结合激素调节机制,引入和情感密切相关的多种因素,从底层对生物体的心理和生理活动进行建模,本文首次提了出一种内分泌系统和情感相互作用的人工内分泌情感模型考虑到激素分泌的复杂性和情感本质上的模糊性,采用了模糊逻辑的表征策略处理激素的分泌和情感的产生过程总的来说,生物内分泌系统蕴含着极其丰富的信息处理机制,在浅析浅析这些机制的基础上,建立相关理论和模型具有重要意 义本文对人工内分泌模型进行了初步研究,提出了人工内分泌情感模型

【Abstract】 For the past few years, inspired by the biological information processing mechanism, a lot of important intelligent models and technologies have been presented. The biological information processing system is mainly composed of nervous system, immune system and endocrine system. There is not only large loop among them, but also direct reciprocity, which plays an important role in the growing development and metabolism of organisms and maintains their vital movement together. Inspired by the biological mechanism of the nervous system and immune system, artificial neural network as well as artificial immune system has been promoted. Successful research of the theories, models, algorithms and applications have shown the significant theoretic meaning and applied value of artificial intelligence models research based on biological information processing mechanism, meanwhile ,prompted researchers to explore other information processing system of organisms including endocrine system.As an important part of biological information processing system, the endocrine system contains rather complex and particular information processing mechanisms, including hormonal regulation mechanism, information delivery mechanism and emotion reacting mechanism. Extracting these mechanisms which are peculiar to endocrine system and establishing corresponding models and algorithms has important research value, which has been a hot issue in the research field of artificial intelligence. At the same time, as an integral part of human intelligence, emotion plays an essential role in perception, reasoning, decision making,creativity, social behavior, and so on. With the rapid development of brain science, psychology, information science and intelligent science, many researchers devote themselves into the research of artificial emotion, affective computing, virtual reality and other interdisciplinary fields. Theories, models and algorithms related to emotion are of great importance to enhance system intelligence. It has been discovered that endocrine system and emotion don’t exist in isolation, and there is reciprocity between them. Endocrine system plays a momentous regulatory role on emotion, and the great influence from emotion cannot be neglected. Based on the in-depth research and analysis of biological endocrine system, this paper did some research work on the artificial endocrine-emotion models. The main work is summarized as follows: (1) From the information processing point of view, this dissertation lucubrates into the basic functions and mechanism of the endocrine system, analyzes and summaries its unique features, which offers theoretical basis and guidance for the research of artificial endocrine system model.(2) At a basis on the analysis of regulation mechanism of the biological endocrine system, the article brings forward an emotion model which is based on hormonal regulation. The endocrine system regulates the emotions, which can avoid the occurrence of mutations of agents’ emotional state, leads to effective behavioral decision, and thereby improves the survivability in complex and dynamic changing environment. Experimental results have verified the validity of the supposed model and algorithm.(3) Using the emotion reacting mechanism of biological endocrine system, taking hormonal regulatory mechanism into consideration, introducing many factors which are closely linked to emotion, this dissertation brings forward an artificial endocrine-emotion model for the first time, in which the endocrine system and emotion have interaction. Fuzzy logic method is employed to deal with the complexity in hormone secretion and uncertainty in emotion generation, considering that the hormone secretion process is complex and the emotion generation process is fuzzy in nature.Generally speaking, biological endocrine system has rich information processing mechanisms. It has significant value to establish artificial endocrine models and algorithms on the base of analysis of them, and we have done some preliminary research, proposed artificial endocrine-emotion models.

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  本文关键词：人工内分泌情感模型研究，由笔耕文化传播整理发布。