Acquisition and Justification of Beliefs

Batubi is a lazy student who refuses to study. His teacher, Mr. Smith, automatically speculates that he can infer that he has sufficient evidence to support what he believes he can not take the final exam just attended right now be able to. Mr. Smith said that Batubi had little interest in the lesson, his learning habits were very poor, and that his previous exam did not pass the exam, and the questions in the exam section were not sufficiently correct I saw that.

Rational belief (JTB) is a traditional way to achieve this leap. This is not a perfect process, but it is at the center of knowledge acquisition. The belief part is simple. These two catches have justified reasons to believe in the verification of faith and certain reality, and this belief is actually true. The problem with the AI ​​system is that you must evaluate the accuracy of incoming data, information, and knowledge. The bad news is that the accuracy of information may not be verified reliably and reliably. An intelligent entity may just assign a probability or probability range to the credibility of the information.

Defense theory is part of epistemology, trying to understand the legitimacy of propositions and beliefs. Recognitionists focus on different cognitive characteristics of beliefs, including defense, arrest, rationality, and possibilities. Of the four terms, the term most widely used and discussed at the beginning of the 21st century is "warranty". Roughly speaking, the reason is that someone (probably) has a reason for belief. If 'A' submits a claim and 'B' disputes it, the next step of 'A' is to provide a reason for usual. The exact way people use to state the reason is to draw a line between rationalism and empiricism (and other philosophical views). Much of the discussion in these areas has focused on analyzing the nature of knowledge and the relationships between it and concepts such as truth, beliefs, reasons.