vault backup: 2025-04-30 13:27:49
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@ -27,7 +27,7 @@ $\approx$ is a
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4. $\sim \subset \approx$
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#### Examples of weakly bisimilar processes
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**Theorem:** given any process P and any sum M, N, then:
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1. $P \approx \tau.{P}$
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@ -41,7 +41,7 @@ take the symmetric closure of the following relations, that can be easily shown
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3. $S=\{ ((M+\alpha.P+\alpha.(N+\tau.P), M+\alpha.(N+\tau.P)) \} \cup Id$
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#### Weak bisimilarity abstracts from any $\tau$
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**There exists no weak bisimulation S that contains (P, Q).**
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*Proof:*
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@ -71,7 +71,7 @@ A possible implementation of this specification is obtained by having two worker
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- For difficult works, they have to use the special machine.
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There is only one special and only one general machine that the workers have to share.
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where rg and rs are used to require the general/special machine, lg and ls are used to leave the general/special machine, and S and G implement a semaphore on the two different machines.
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@ -83,7 +83,7 @@ i.e., that the specification and the implementation of the factory behave the sa
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Let N denote {rg,rs,lg,ls} and x,y ∊ {E,M,D}
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We can prove that the following relation is a weak bisimulation:
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This is a family of relations:
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- 3 pairs of the second form (one for every x)
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@ -101,7 +101,7 @@ We want to model a lottery L where we can select any ball from a bag that contai
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The specification is: $$L \triangleq \tau.\bar{p_{1}}L+\tau.\bar{p_{2}}.L+\dots+\tau.\bar{p_{n}}.L$$
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where $\tau$'s represent ball extractions and $\tilde{p_{i}}$ is the action that communicates with the value of the extracted ball. The LTS resulting from this specification is:
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We now build a system with n components, one for every ball.
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