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　　In scientific philosophy，Hume's question of the rationality of inductive law is called Hume question，Also known as induction。Hume's question attracts the attention of countless philosophers，Its charm is the argument given by Hume: We cannot prove that the prediction made by induction is reasonable。It is usually considered，The problem of Hume in the scope of logic。In traditional scientific philosophy，Hume's question is facing the following challenges: 1. How to reasonably launch the full name general proposition from the proposition，The general problem of summarizing defense。2. How to prove that the predictions about future and future evidence are reasonable，That is the inevitability of defense。3. Can you push the unknown knowledge once and for all from known knowledge，The possibility of summarizing static defense。Artificial intelligence methods have an important impact on the development of philosophy and logic，and to a large extent decide the path and direction of Hume's research。As a local area、context dependence and dynamic corrected artificial intelligence method，Not only can it resolve the Hume problem，And can promote the development of practical philosophy，Dilemma of eliminating human survival and development。

　Analysis of the difficulties of Hume's problem

The discussion of Hume's problem is mainly concentrated in two aspects: 1. Whether we can reasonably launch the full name general proposition from individual only names。For example，bet365 Play online games From this swan is white、That swan is also white，Can all the swans be white this conclusion。This is a general problem of inductive method。2. Any scientific forecast even if we believe，It can not prove its inevitable rationality。For example，From yesterday, it is sunny、Today is sunny，Could it be speculated that tomorrow will be sunny。This is the inevitable problem of the inductive method。

Hume raised questions and their answers，It has always been regarded as Guiyi。They discussed the Huabo problem in their own way。For example，Where to learn from logic，Jiang Tianji thinks，Hume's problem will not be defended in logic; Ju Shier pointed out，Hume problem is unsolvable within the scope of logic。If the Hume problem is irreplaceable within the scope of logic，So is it solution within the scientific and philosophy of science? Philosophers have proposed three solutions: 1. Priority solution; 2. Practicalism solution; 3. Fusion of pre -pre -verification and empirical solution。

Kant's plan is the priority。He attributed Hume's problem to causality，It is believed that cause and effect connection is just a congenital form that people organize sensory experience，But his focus is on refuting Hume’s suspicion theory。Lai Xinbach’s plan is pragmatism。He showed the reasonableness of the inductive law by showing how the inductive law operates reasonably in practice。Although this defense is not successful，But it is inspiring to explore the problem of Hume from the practical path。Donald Williams considers the priority factors，also takes into account experience。He demonstrated，Based on a verifyable priority facts，You can use the three paragraphs of statistics to prove the rationality Bet365 lotto review of the induction method。Although the argument has new ideas，But there is still a gap to solve the problem of Hume。

The root cause of the difficulty of Hume is，Traditional scientific philosophy solve the problem of Hume.、The assumption that is de -language context and cannot be corrected，This defense is impossible to succeed。We need to convert ideas，Look at Hume problem from the perspective of interdisciplinary。

　Get rid of difficulties through artificial intelligence

Different defense strategies from traditional scientific philosophy，Artificial intelligence as a application science，Frequently actualist attitude in strategy: as long as it can solve the problem，is available。This is the advantage of traditional scientific philosophy。Artificial intelligence method Based on the following assumptions。

　　1. Locality.From the perspective of traditional scientists，Hume problem exists in the form logic of the full name generally judged。The defense of Hume's problem is the whole region、Unlimited defense in the range。but，From the perspective of artificial intelligence methods，The defense of Hume's problem is the local area。For example，In a special artificial intelligence (such as an expert system)，Due to the differences in the specific application field，Applicable programming methods are not the same，There is no smart machine that is commonly applicable。In general artificial intelligence，Since the environment facing the intelligence is complicated、Interconnected，The smart body cannot understand all the facts in the environment，You must face randomness、Uncertainties such as fuzzy and incompleteness。Despite the general artificial intelligence, it has to do idealized treatment of the application field，But when it completes the specific task of simulating intelligence，It can only be used in a limited area method。For example，Replace the full name of the full name with generally referred to as propositions，or "the same conditions" clauses limited the full name proposition。Actually，Artificial intelligence is to achieve intelligent simulation in a local approach。Practice indicates，Humanity may establish a reasonable logic of local induction，Solving the universal problem of inductive defense。This possibility will become reality under the promotion of artificial intelligence research。

　　2. Context dependence.In traditional scientific philosophy，The defense of Hume's problem is not dependent on the context，This is one of the symptoms that are difficult to solve in Hume's problem。and artificial intelligence is different。In the actual artificial intelligence system，Algorithms based on artificial language，Its semantic content is defined by each program。This causes each program to have their own "content theory" and processing model，So that the system has context dependence。Natural language processing involves ambiguity issues，The external conditions that can dominate the ambiguity are mainly context。Therefore，If you want to understand the ambiguity,，Only contact the context，It is not enough to analyze the structure and meaning of the sentence itself。In order to enable the machine to perform ambiguous dispersion work，It requires a semantic analysis method that emphasizes context。Situment language is based on the requirements of natural language treatment。Practice indicates，Discovery procedures in artificial intelligence are mostly universal rules that are not allowed to be in four seas，More inspirational cash -cooked methods。This program is not context -neutral，but context dependence、Context limit and context sensitivity。It is the relative and specific nature of context dependence，Only make the generality of solving the generality of inductive defense becomes possible。

　　3. Dynamic correction.In traditional scientific philosophy，The defense of Hume's problem uses static defense strategies，This has repeatedly frustrated the attempts to solve the Hume problem。Dynamically portraying people's beliefs flowing process，is the strength of artificial intelligence。In the task faced by artificial intelligence，I often encounter insufficient information、Uncertainty such as changes in environmental boundaries。Only the limitation of breaking through traditional scientific methods，Dynamic simulation thinking is feasible。Non -monotonous reasoning in artificial intelligence、Framework System、Script description method is the result of this effort。Non -monotonous reasoning is a reasoning for inadequate information。Do not give all conditions before reasoning，Instead of adding new prerequisites during the reasoning process。With the new premise，Some conclusions that have been obtained can be abolished or revoked。Deficiency and boundary method is two of them。For example，In the default reasoning，The original premise was "Everyone can fly"。If A is really a bird，You can launch "A can fly"; once you get a new information that bird B (such as ostrich) will not fly，The premise of the original "Everyone can fly" was canceled，The conclusion of "A can fly" is also overturned。Division method is similar，After the premise is corrected，The original boundary condition also revised it with it，The scope of the conclusion also needs to be re -determined。Faith Correction is a common method for artificial intelligence，With the deepening of knowledge，Once a new fact that is discovered with conclusions，It is necessary to modify the original belief，Get a new conclusion。Therefore，Summary Static Defense is not feasible。It is the continuous trial and error and dynamic correction of artificial intelligence，Only the conclusion or conclusions are constantly inevitable，Therefore, the inevitability problem of solving inductive defense becomes possible。

Because of the above advantages，Artificial Intelligence Studies can either eliminate Hume problems，Either you will not encounter the problem of Hume problems。In short，The defense made by artificial intelligence philosophy for Hume，It may only be: "It is effective"。The significance of the problem of Hume from artificial intelligence is: 1. Artificial intelligence method can provide ideological resources for scientific practice philosophy，Scientific practice philosophy can provide philosophy for artificial intelligence，Then laid the foundation for the joint problem such as artificial intelligence and philosophy to solve major problems such as Hume。2. How the essence of Hume's problem predicts the future。For us，The important thing is not to recognize the past and the present，but predict the future。The situation in this world is changing、"Black Swan Incident" frequently、Age full of risks and uncertainty，It requires artificial intelligence to be used as a guide to foresee the future，and artificial intelligence and philosophy help to eliminate the dilemma of human survival and development。

　(This article is the major project of the National Social Science Fund "Modern Summary Logic New Development、Research on the Frontier and Application of theory "(015ZDB018) phased results)

(Author Unit: Institute of Economics and Social Development of Nankai University)