Model Checking Algorithms - probabilistic (week 8) Flashcards

(8 cards)

1
Q

What does DTMC stand for

A

Discrete Time Markov Chain

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2
Q

What does PCTL stand for

A

Probabilistic Computation Tree Logic

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3
Q

What is the definition for when a TS (transition system) T satisfies a property

A

T ⊨ iff ∀s ∈ I.s ⊨ φ

or equivalently

T ⊨ φ ∀s ∈ I ⊆ sat(φ)

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4
Q

What is the definition of a satisfaction set

A

sat(ϕ) = {s ∣ s ⊧ ϕ}

“The satisfaction is the set of all states that satisfy the property ϕ)

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5
Q

What is the Global Algorithm

A

modelCheck(TS, phi) = {
return I ⊆ sat(phi)
}

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6
Q

What is the recursive bottom-up computation?

A

A method to find a solution to a PCTL formula by start from the bottom of a parse tree on the formula and working upwards. The solution, which is a satisfaction set, can be used to find a solution to the global algorithm!

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7
Q

The semantic definition for the probabilities for next, eventually/finally, and until, both bounded and unbounded

A

Check slides

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8
Q
A
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