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Artificial Intelligence and Soft Computing: Behavioral ... - Arteimi.info

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11.6.1 State Transition Diagram<br />

for PTL Interpretation<br />

Consider a state transition graph where the nodes denote the temporal states<br />

<strong>and</strong> the arc denotes the transition from one state to another through passage of<br />

time. For instance, the state transition graph of fig. 11.9 describes the<br />

transition of temporal states from s1 to s2 <strong>and</strong> s3, from s2 to s3 <strong>and</strong> s4, from s3 to<br />

s2 <strong>and</strong> s4 to s4 itself. Further, each state si corresponds to a temporal value of<br />

the propositions p <strong>and</strong> q. For brevity of representation, we use the positive or<br />

negative literals like {p, q} or {¬p, q} instead of {p= true, q= true} or {p=<br />

false, q= true} respectively.<br />

Now, suppose we want to evaluate the truth value of the formula<br />

X =Ā(p) ∨ Ā(q)<br />

in each state.<br />

In state s1, X is true as its next states s2 <strong>and</strong> s3 both satisfy X. X is also<br />

true in s2, as its next state s3 satisfies A. X is also found to be true in s3 as its<br />

next state s2 supporting X. X is not true in s4 as itself <strong>and</strong> its net state, which<br />

too is s4, does not support A.<br />

p<br />

¬q<br />

S1<br />

S2<br />

S4<br />

¬p<br />

q<br />

¬p<br />

¬q<br />

Fig. 11.9: A state transition graph representing PTL interpretation.<br />

We now formally prove a few identities using the concept of the state<br />

transition graphs.<br />

p<br />

q<br />

S3

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