人工智能简介

2020/5/25,上海大学,1,IntroductionofAI,Name:LiChaoyangNumber：14721236,2020/5/25,2,上海大学,Thefamousalgorithms,WhatcanAIbeusedtodo,ThreeperspectivesofAI,OriginsofArtificialIntelligence,DevelopmentofAI,WhatsArtificialIntelligence,A,B,C,D,目录,CONTENT,E,F,2020/5/25,3,上海大学,Theachievementsincludingmathematicallogic,automatatheory,cybernetics,informationtheoryandsystemstheorycreatedandcommonelectronicdigitalcomputerinventedbefore1956,prepareadequateideas,theories,materialandtechnicalconditionsforthebirthofArtificialIntelligence.,OriginsofArtificialIntelligence,1956年之前，创立数理逻辑、自动机理论、控制论、信息论和系统论，并发明了通用电子数字计算机，这些成就为人工智能的诞生准备了充足的思想、理论和物质技术条件。,2020/5/25,4,上海大学,OriginsofArtificialIntelligence,Inthesummerof1956,tenexpertsfromareasincludingmathematics,psychology,neurophysiology,informationtheoryandcomputerdiscussedtheissueofmachineintelligenceattendaconferenceofatwo-monthstudyintheDartmoorMossUniversity,anditwasMcCarthyproposalformallythetermartificialintelligence.Thismarkstheofficialbirthofartificialintelligencedisciplines.1956年夏季，10位来自数学、心理学、神经生理学、信息论和计算机方面的专家在美国达特莫斯大学召开一次历时两个月的研究会，讨论了关于机器智能的有关问题，会上麦卡锡提议正式采用了“人工智能”一词。这标志人工智能学科的正式诞生。,2020/5/25,5,上海大学,Artificialintelligenceisanewmultidisciplinarynaturedevelopedfromthecrossingandpenetrationofcomputerscience,cybernetics,informationtheory,linguistics,neurophysiology,psychology,mathematics,philosophyandothersubjects.,人工智能是一门由计算机科学、控制论、信息论、语言学、神经生理学、心理学、数学、哲学等多种学科相互渗透而发展起来的综合性的新学科。,WhatsArtificialIntelligence,2020/5/25,6,上海大学,2020/5/25,7,上海大学,Symbolicism（LogicismPhysiologicalmodeling,neuralcomputation;Behavioralsimulation,self-study;Groupssimulation,bioniccalculation;Naturalcomputing,organizationaloptimization;Principleanalysis,mathematicalmodeling;心理模拟，符号推演；生理模拟，神经计算；行为模拟，自主学习；群体模拟，仿生计算；自然计算，组织寻优；原理分析，数学建模；,2020/5/25,10,上海大学,Avarietyofpurposes,2020/5/25,11,上海大学,Thefamousalgorithms,geneticalgorithm;immunecomputing;antcolonyalgorithm;particleswarmalgorithm;fishalgorithms;simulatedannealingalgorithm;quantumclusteringalgorithm;DNAmoleculesalgorithm;statisticalpatternrecognition;statisticalmachinelearning;uncertaintyreasoning;geometricclassification;supportvectormachine,遗传算法;蚁群算法;鱼群算法;