Evidence Theory
Evidence Theory, also known as Dempster-Shafer Theory, is a framework for reasoning with uncertainty. Unlike traditional probability, it allows for representing varying degrees of belief based on evidence. You can combine evidence from different sources to assess the likelihood of possible outcomes. In Justification Theory, this approach helps evaluate claims by considering how well evidence supports them, acknowledging both supporting and contradictory information. Essentially, it offers a way to quantify uncertainty and make decisions based on incomplete or ambiguous information, enhancing how we justify beliefs or actions.
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Evidence theory, also known as Dempster-Shafer theory, is a framework used to handle uncertainty in decision-making and reasoning. It allows one to combine different pieces of evidence to determine how much belief or support there is for various hypotheses. Unlike traditional probability theory, which requires exact probabilities, evidence theory uses belief functions to express uncertainty, enabling us to represent incomplete or ambiguous information more effectively. It helps in fields such as artificial intelligence, risk assessment, and information fusion by quantifying beliefs based on available evidence without needing precise data.