We have 3 binary variables: x, s, and v. x causes s and v; and s causes v.
x -> s, v
s -> v
There is some data restriction when s = 0, and so we want to use x and v to learn more about s.
We know
P(x = 1) = .5
P(v = 1|x = 1) = .29
P(s = 1|x = 0) = .37
P(s = 1|x = 1) = .78
P(v = 1|s = 1) = .28
P(s = 1|v = 1) = .75
P(v = 1|s = 1, x = 1) = .32
P(v = 1|s = 1, x = 0) = .18
We want to know P(v = 1|s = 0)?
We can derive P(s = 0) = P(s = 0, x = 0) + P(s = 0, x = 1) and P(s, x) = P(x) * P(s| x).
Is this solvable and what is the solution?
As @lulu suggested framing this in terms of the 8 possible combinations of s, v, and x will allow you to determine either what you want to know or find out that the combinations you listed are inconsistent.
Using Mathematica's
Reducecommand (because in my old age I like to let computers do the thinking) one finds that the "facts" given cannot all be true. I've ordered s, v, and x in alphabetical order so that p101 = P(s=1, v=0, x=1).If the last equation is removed (and probably removing any one equation), then a plausible solution is reached: