Topic XV. Heuristics & Biases
Filtering on
Context for this filter:
-
LEARNING GOALS
- B. CONCEPT ACQUISITION
- Base rates: The base frequency of a given attribute in a whole population.
-
LEARNING GOALS
- B. CONCEPT ACQUISITION
- Base rates: The base frequency of a given attribute in a whole population.
- a. Bayesian reasoning: Systematically combining information regarding new evidence with prior beliefs to determine the probability of a hypothesis.
- b. Bayes Rule: $$P(A|B) = (P(B|A)*P(A))/P(B)$$ where $$A$$ & $$B$$ are events and $$P(B)$$ ≠ $$0$$.
- The formal statistical rule for applying Bayesian reasoning. When updating beliefs, final credence level should be influenced by initial credence level and the strength of the new evidence.
- C. CONCEPT APPLICATION
- Given an example in which a person updates her belief, identify the two factors that should influence her final credence level (initial credence level and strength of the evidence), and recognize that Bayes rule provides a formal specification of how to do so.