Falsifiability as the theoretical foundation of Artificial Intelligence
Document Type : علمی - پژوهشی
Abstract
Falsifiability is a criterion for statements for being scientific. This was presented for the first time by Karl Popper - the 20th century philosopher. According to this theory - which is in opposition with the method of induction - a statement is scientific if it can be falsified. New theories will be substituted when the previous theories are falsified. Artificial Intelligence (AI) and learnign machines work in accordance with the falsifiability process. This will become clear by explaining the strategy being implemented in AI. This article, by examining some cases, will show how falsifiability is the theoretical foundation for AI.
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