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A Study Of Carnap's Inductive Logic And Its Cognitive Implications

Posted on:2021-01-09Degree:MasterType:Thesis
Country:ChinaCandidate:Y JiangFull Text:PDF
GTID:2415330611471663Subject:Philosophy
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After the cognitive value of classical inductive logic was questioned,modern inductive logic with probability theory as its main content rose.This is a change from qualitative cognition to quantitative cognition,among which the inductive logic built by Carnap is the most innovative and effective.His theory opened up a new research way to solve Hume's problem and reshaped the cognitive value of inductive logic in a certain sense.With the complexity of people's cognitive environment,the limitations of Carnap's inductive logic gradually appear.This paper combs the development of Carnap's inductive logic,analyzes the cognitive value of Carnap's inductive logic,in order to have a deeper understanding of inductive logic theory.Based on the elaboration of Carnap's inductive logic theory,this paper analyzes its influence and significance on people's cognitive activities.This paper traces back to the origin of Carnap's inductive theory and deeply understands the basis of its theoretical construction.Through the comparative analysis of "probability implication" and "logic implication",this paper further clarifies the core concept of Carnap's inductive theory,"corroboration",and discusses its Cognitive Implication and value on the basis of explaining Carnap's inductive logic system.To a certain extent,Carnap used transcendental deduction theory to solve Hume's problem,which is of great significance for reconstructing the cognitive value of inductive logic.He proposed that finite induction machines lay the theoretical foundation for machine learning."Probability implication" plays a guiding role in methodology for people's knowledge acquisition and scientific experiments,but its theory needs to change to non monotony and incompleteness to adapt to the complexity and diversity of human cognition.Therefore,the combination of inductive probability and inductive machine theory is an effective way to connect induction and deduction.In this paper,a comparative study method is adopted to compare the similarities and differences between deductive logic and inductive logic,as well as the statistical probability and logical probability.In order to explore the cognitive value of Carnap inempirical natural science,the interdisciplinary research method is used to analyze and study the related contents of logic,computer and linguistics.
Keywords/Search Tags:Carnap, machine learning, probability theory, certainty, quantitative recognition
PDF Full Text Request
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