The uncertain duration of each job in each machine in flow shop problem was regarded as an independent random variable and was described by mathematical expectation.And then,an immune based partheno-genetic algorithm ...The uncertain duration of each job in each machine in flow shop problem was regarded as an independent random variable and was described by mathematical expectation.And then,an immune based partheno-genetic algorithm was proposed by making use of concepts and principles introduced from immune system and genetic system in nature.In this method,processing se-quence of products could be expressed by the character encoding and each antibody represents a feasible schedule.Affinity was used to measure the matching degree between antibody and antigen.Then several antibodies producing operators,such as swopping,mov-ing,inverting,etc,were worked out.This algorithm was combined with evolution function of the genetic algorithm and density mechanism in organisms immune system.Promotion and inhibition of antibodies were realized by expected propagation ratio of an-tibodies,and in this way,premature convergence was improved.The simulation proved that this algorithm is effective.展开更多
Recently,a new kind of machine intelligence was born,called as UI(Ubit intelligence).The basic difference between UI and AI is encoding;UI is based on word encoding;but AI is based on character encoding.UI machine can...Recently,a new kind of machine intelligence was born,called as UI(Ubit intelligence).The basic difference between UI and AI is encoding;UI is based on word encoding;but AI is based on character encoding.UI machine can learn from human,remember the characters,pronunciation,and meaning of a word like human.UI machine can think among the character,pronunciation,and meaning of words like human.Turing Test is similar to a teacher testing a student;Before Test,tester must teach the content of the test questions to UI machine first;after UI machine learning,tester asks testee questions;to check testee has remembered what he taught;to check testee can think among character,pronunciation,and meaning of words.This paper demonstrates that testee can remember what testee taught;and answer all 6 questions correctly by thinking.UI machine passes Turing Test easily and successfully with score 100.Following on,the works related to this study is briefly introduced.At last,this paper concludes that UI machine is based on word encoding,can form word,form concept,can possess brain like intelligence,also can possess human like Intelligence;therefore UI machine passes Turing Test easily and successfully.On the contrary,AI machine is based on character encoding;can’t form word;can’t form concept,AI machine can’t possess brain like intelligence,nor possess human like Intelligence.Therefore,AI machine can’t pass Turing Test.展开更多
文摘The uncertain duration of each job in each machine in flow shop problem was regarded as an independent random variable and was described by mathematical expectation.And then,an immune based partheno-genetic algorithm was proposed by making use of concepts and principles introduced from immune system and genetic system in nature.In this method,processing se-quence of products could be expressed by the character encoding and each antibody represents a feasible schedule.Affinity was used to measure the matching degree between antibody and antigen.Then several antibodies producing operators,such as swopping,mov-ing,inverting,etc,were worked out.This algorithm was combined with evolution function of the genetic algorithm and density mechanism in organisms immune system.Promotion and inhibition of antibodies were realized by expected propagation ratio of an-tibodies,and in this way,premature convergence was improved.The simulation proved that this algorithm is effective.
文摘Recently,a new kind of machine intelligence was born,called as UI(Ubit intelligence).The basic difference between UI and AI is encoding;UI is based on word encoding;but AI is based on character encoding.UI machine can learn from human,remember the characters,pronunciation,and meaning of a word like human.UI machine can think among the character,pronunciation,and meaning of words like human.Turing Test is similar to a teacher testing a student;Before Test,tester must teach the content of the test questions to UI machine first;after UI machine learning,tester asks testee questions;to check testee has remembered what he taught;to check testee can think among character,pronunciation,and meaning of words.This paper demonstrates that testee can remember what testee taught;and answer all 6 questions correctly by thinking.UI machine passes Turing Test easily and successfully with score 100.Following on,the works related to this study is briefly introduced.At last,this paper concludes that UI machine is based on word encoding,can form word,form concept,can possess brain like intelligence,also can possess human like Intelligence;therefore UI machine passes Turing Test easily and successfully.On the contrary,AI machine is based on character encoding;can’t form word;can’t form concept,AI machine can’t possess brain like intelligence,nor possess human like Intelligence.Therefore,AI machine can’t pass Turing Test.
