發(fā)布時間：2016-09-05 15:19

  本文關(guān)鍵詞：人工內(nèi)分泌情感模型研究，，由筆耕文化傳播整理發(fā)布。

人工內(nèi)分泌情感模型探討

人工內(nèi)分泌情感模型探討

近年來,受到生物信息處理機制的啟發(fā),人們提出了很多重要的智能模型和技術(shù)生物信息處理系統(tǒng)主要包括神經(jīng)系統(tǒng)免疫系統(tǒng)和內(nèi)分泌系統(tǒng),它們之間不僅存在大的回路,而且具有直接的相互作用,對生物體的生長發(fā)育和新陳代謝起著重要作用,共同維持著機體的正常生命活動人們受到神經(jīng)系統(tǒng)和免疫系統(tǒng)生物機制的啟發(fā),已經(jīng)分別提出了人工神經(jīng)網(wǎng)絡(luò)以及人工免疫系統(tǒng),其理論模型算法和應(yīng)用的成功研究充分顯示出基于生物信息處理機制的人工智能模型研究具有十分重要的理論意 義和應(yīng)用價值,并促使人們對包括內(nèi)分泌系統(tǒng)在內(nèi)的其他生物信息處理系統(tǒng)進行深入研究內(nèi)分泌系統(tǒng)作為生物信息處理系統(tǒng)的重要組成部分,蘊含著高度復(fù)雜和極其獨特的信息處理機制,主要包括激素調(diào)節(jié)機制信息傳遞機制和情感反應(yīng)機制抽取生物內(nèi)分泌系統(tǒng)所獨有的信息處理機制,建立相應(yīng)的模型算法具有重要的研究價值,已經(jīng)成為人工智能研究領(lǐng)域的熱點不足同時,情感作為人類智能中不可分割的組成部分,在人的感知推理決策創(chuàng)造和社交等諸多活動中起著不可缺少的作用隨著腦科學(xué)心理學(xué)信息科學(xué)智能科學(xué)的蓬勃發(fā)展,很多科研工作者投入到人工情感情感計算虛擬現(xiàn)實等多個學(xué)科交叉研究的領(lǐng)域,相關(guān)理論及模型算法的研究對增強系統(tǒng)智能具有重要意 義研究發(fā)現(xiàn),內(nèi)分泌系統(tǒng)和情感并不是孤立存在的,它們之間具有相互作用,內(nèi)分泌系統(tǒng)對情感具有重要的調(diào)節(jié)作用,而情感也會對內(nèi)分泌系統(tǒng)造成難以忽略的影響本文在深入研究和淺析淺析生物內(nèi)分泌系統(tǒng)的基礎(chǔ)上,進行了人工內(nèi)分泌情感模型研究具體而言,本文的主要工作包括:一從信息處理角度出發(fā),研究生物內(nèi)分泌系統(tǒng)的基本功能和作用機制,淺析淺析和總結(jié)其獨特的功能特點,為人工內(nèi)分泌系統(tǒng)模型的研究提供理論依據(jù)和指導(dǎo)二在淺析淺析生物內(nèi)分泌系統(tǒng)調(diào)節(jié)機制的基礎(chǔ)上,提出一種基于激素調(diào)節(jié)的情感模型該模型中,內(nèi)分泌系統(tǒng)對情感進行調(diào)節(jié),能夠避開智能體的情感狀態(tài)發(fā)生突變,從而能夠做出有效的行為決策,提高其在復(fù)雜動態(tài)變化環(huán)境中的存活能力仿真實驗驗證了模型及算法的有效性三借鑒內(nèi)分泌系統(tǒng)的情感反應(yīng)機制,結(jié)合激素調(diào)節(jié)機制,引入和情感密切相關(guān)的多種因素,從底層對生物體的心理和生理活動進行建模,本文首次提了出一種內(nèi)分泌系統(tǒng)和情感相互作用的人工內(nèi)分泌情感模型考慮到激素分泌的復(fù)雜性和情感本質(zhì)上的模糊性,采用了模糊邏輯的表征策略處理激素的分泌和情感的產(chǎn)生過程總的來說,生物內(nèi)分泌系統(tǒng)蘊含著極其豐富的信息處理機制,在淺析淺析這些機制的基礎(chǔ)上,建立相關(guān)理論和模型具有重要意 義本文對人工內(nèi)分泌模型進行了初步研究,提出了人工內(nèi)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.

【關(guān)鍵詞】 人工智能； 人工內(nèi)分泌系統(tǒng)； 激素； 情感；
【Key words】 Artificial Intelligence； Artificial Endocrine System； Hormone； Emotion；

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  本文關(guān)鍵詞：人工內(nèi)分泌情感模型研究，由筆耕文化傳播整理發(fā)布。

本文編號：109824