Suppose you multiplied the following two decimal floating point values: 8.4E+5 x 6.9E+3 using the DECIMAL floating point addition algorithm from Content 3.6, a) What will the decimal product of the significands be (including the decimal point, but not including the exponent)? Continuing with the previous question (Using the DECIMAL floating point addition algorithm from Content 3.6 to multiplying 8.4E+5 x 6.9E+3) b) What decimal exponent will be combined with the product of the significand Continuing with the previous questions (Using the DECIMAL floating point addition algorithm from Content 3.6 to multiplying 8.4E+5 x 6.9E+3) c) What final answer be, in DECIMAL normalized form?

Show the difference in the interaction of rules, data and answers in machine learning and classical programming.

Provide an example of a logical equivalence involving quantifiers in first-order logic. Your answer: Please answer the questions in a few lines or paragraphs.

What is a semantic tableau and what is an advantage of using it to determine if a formula is satisfiable?

Did this answer all 3 parts above?

When you mention "static semantics," do you have any idea what you're talking about? Do static semantic norms exist that defy or cannot be explained by BNF?