Consider the simple MYCIN-like rule: if A ∧ (B v C) ⇒ D (.9) ∧ E (.75). Discuss the issues that arise in capturing these uncertainties in a Bayesian context. How might this rule be handled in Dempster–Shafer reasoning?
Create a new example of diagnostic reasoning and use the Dempster–Shafer equations of Section 9.2.3 to obtain belief distributions as in Table 9.1 and 9.2.
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