|Consider the formula C = 3x Vy.p(x,y) → q(y). For each of the following nterpretations, determine if the interpretation is a model of C. If it is a model, show that it s. If it is not a model, show that it is not.
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- in the solution it says "Now, consider the model that satisfies all axioms in {A1, A2, ..., Ak} (since it's finite, it can be satisfied by a model), but also satisfies Fm because Fm implies Fm+1" but it is given that Fm doesnot imply fm+1Use rules of inference to show that if Vx(P(x) V Q(x)) and Vx((-P(x) A Q(x)) → R(x)) are true, then Vx(-R(x)– P(x)) is also true, where the domains of all quantifiers are the same.Use rules of inference to show that if Vx(P(x)VQ(x})andVx((-P(x)AQ(x))→R(x))are true, thenVx(-R(x)→P(x))is atso true, where the domains ofall quantifiers are the same.
- show the validity Vb E(s, b, b), Vb Vc Vd (E(b, c, d) → E(h(b), c, h(d)))Generate the Simulink models for the constitutive equations of stress and strain for Kelvin-Voigt and Maxwell viscoelastic models with the following constraints: Your source should always be a step function with a step of 10 - regardless of whether it's stress or strain For all models, use the following values: E-3 n-5 You should have a total of 4 models: 1. Kelvin Voigt– input is strain, output (scope) is stress 2. Kelvin Voigt – input is stress, output (scope) is strain 3. Maxwell – input is strain, output (scope) is stress 4. Maxwell – input is stress, output (scope) is strainLet X,,X,be two real-valued features and Y be a Boolean-valued function of the given features such that the Gaussian Naïve-Bayes assumptions are satisfied. Suppose 1 P(Y/X4,X2) = Assume that P (X,/Y = 0) = N(1.0, o1) and P(X,/Y = 1) = N(2.0,0,). Similarly P(X2/Y = 0) = N(1.0, 02 )and P(X,/Y = 1) = N(2.0, o,). Calculate the standard deviationso, and o, and the probability P(Y = 1). 1+exp (-0.1-0.2X,-0.3X,)
- ∀x∀y(Rxy→(x=y∧P x∧Qy))∧¬∃x(P x∧Qx) For the above proposition, describe (i) a model on which it is true (and explain why it is true on this model), and (ii) a model on which it is false (and explain why it is false on this model). Note: If there is no model of one of these types, explain why.Choose a real-world situation with at least three sets of Venn diagrams. Explain why a Venn diagram is suitable in this circumstance. Discuss the significance of the intersection and union of the distinct sets.Given input space X = {0, 1}°, and output set Y = {a,b, c, d}. How many different hypothesis (mappings from X to Y) in H? List your equations and compute the final answer.
- The topic is on math logic Let M1 be a Kripke model with W = {wO, w1} and R = {{wo, w1}}. Moreover, suppose l(o, A) = 0 and I(wi, A) = 1. In this model, DA → A is not valid in wo. In other words, V(wO, DA → A) = 0. Exercise. Please prove this fact. (Note: this means DA → A is not true in a non-reflexive frame)Draw the truth table of (A→ B) ˄ (B → A) and (A Ú B) ˄ (¬B Ú A). Determine from the truth table whether (A→ B) ˄ (B → A) is logically equivalent to ((¬A Ú B) ˄ (¬B Ú A)A system is said to be completely observable if there exists an unconstrained control u(t) that can transfer any initial state x(to) to any other desired location x(t) in a finite time to T. b. Investigate the observability of the system below. (X1 X2, -2 (X1 y = [1 2] Knowing that X = Ax + Bu and y= Cx.