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Has there been work on defining a refinement relation between trees that have the nondetE effect, saying that t1 refines t2 iff for every choice made for the nondetE actions in t1, there exists a choice for nondetE actions in t2 such that the rest of the two trees line up?
There is something like that in our DeepWeb experiment but it's unused. In the VST proof we use trace inclusion, which is a coarser relation, but I'm pretty sure the lemmas we actually proved are all compatible with this tree refinement relation, which is a kind of simulation.
I'd also like to use interaction trees for proving behavior refinement (not equivalence) and wonder if supporting simulation (not bisimulation) is on the roadmap. If not, people in my group are willing to contribute to it.
This is in fact likely one of the sooner destinations on the roadmap. I
only have very vague ideas at the moment, it would definitely be useful to
have more discussion about this.
- In our CPP paper we use trace inclusion, where nondeterminism (visible by
default) is erased from traces beforehand. That's coarser than simulation
of course, but for our purposes of modelling externally visible behavior
without liveness concerns it was good enough. But it will take work to
generalize.
- Since our discussions with Gil about the recent developments in paco, I
have a fuzzy idea that there may be a solution using some variant of the
concept of respectful closure.
- Another place to draw inspiration from is in the literature about the
resumption monad (which itree is a variant of). I recently got a sense that
they're trying to answer closely related questions, in highly more abstract
terms.
On Mon, Apr 8, 2019, 14:45 Jeehoon Kang ***@***.***> wrote:
I'd also like to use interaction trees for proving behavior refinement
(not equivalence) and wonder if supporting simulation (not bisimulation) is
on the roadmap. If not, people in my group are willing to contribute to it.
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@Lysxia Thank you for your detailed answer. Your second and third bullet explains ideas on solutions, but I don't quite understand the problem. May I ask if why it would be difficult to support interaction tree refinement?
Good question. I think the main problem is a problem of generality, so I may be getting carried away. Simulation is one example out of many other relations we may want to support, and we might even want to be able to combine some of them. To fit them all under a common framework is why I'm looking at those solutions.
In this light, a different way to approach this issue is to look at some concrete definition of simulation and decide that it is good enough for most purposes.
Activity
gmalecha commentedon Jan 11, 2019
We wrote some of this out, didn't we?
Lysxia commentedon Jan 12, 2019
There is something like that in our DeepWeb experiment but it's unused. In the VST proof we use trace inclusion, which is a coarser relation, but I'm pretty sure the lemmas we actually proved are all compatible with this tree refinement relation, which is a kind of simulation.
jeehoonkang commentedon Apr 8, 2019
I'd also like to use interaction trees for proving behavior refinement (not equivalence) and wonder if supporting simulation (not bisimulation) is on the roadmap. If not, people in my group are willing to contribute to it.
Lysxia commentedon Apr 8, 2019
jeehoonkang commentedon Apr 9, 2019
@Lysxia Thank you for your detailed answer. Your second and third bullet explains ideas on solutions, but I don't quite understand the problem. May I ask if why it would be difficult to support interaction tree refinement?
Lysxia commentedon Apr 10, 2019
Good question. I think the main problem is a problem of generality, so I may be getting carried away. Simulation is one example out of many other relations we may want to support, and we might even want to be able to combine some of them. To fit them all under a common framework is why I'm looking at those solutions.
In this light, a different way to approach this issue is to look at some concrete definition of simulation and decide that it is good enough for most purposes.