A+Practical+Theory+of+Programming+11(1)

A+Practical+Theory+of+Programming+11(1) - 126 9 Interaction...

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126 9 Interaction We have been describing computation according to the initial values and final values of state variables. A state variable declaration var x : T · S = x , x : T · S says that a state variable is really two mathematical variables, one for the initial value and one for the final value. Within the scope of the declaration, x and x are available for use in specification S . There are intermediate values whenever there is a dependent (sequential) composition, but these intermediate values are local to the definition of dependent composition. P . Q = x ′′ , y ′′ , . ..· x , y , . .. P x ′′ y ′′ ... x , y , . .. Q x ′′ y ′′ ... Consider ( P . Q ) || R . The intermediate values between P and Q are hidden in the dependent composition, and are not visible to R , so they cannot be used for process interaction. A variable whose value is visible only initially and finally is called a boundary variable, and a variable whose value is visible all the time is called an interactive variable. So far our variables have all been boundary variables. Now we introduce interactive variables whose intermediate values are visible to parallel processes. These variables can be used to describe and reason about interactions between people and computers, and between processes, during the course of a computation. 9.0 Interactive Variables Let the notation ivar x : T · S declare x to be an interactive variable of type T and scope S . It is defined as follows. ivar x : T · S = x : time T · S where time is the domain of time, usually either the extended integers or the extended reals. An interactive variable is a function of time. The value of variable x at time t is x t . Suppose a and b are boundary variables, x and y are interactive variables, and t is time. For independent composition we partition all the state variables, boundary and interactive. Suppose a and x belong to P , and b and y belong to Q . P || Q = t P , t Q · t ′→ P t P ( t ′′ · t P t ′′≤ t xt ′′ = x ( t P )) t ′→ Q t Q ( t ′′ · t Q t ′′≤ t yt ′′ = y ( t Q )) t = max t P t Q The new part says that when the shorter process is finished, its interactive variables remain unchanged while the longer process is finishing. Using the same processes and variables as in the previous paragraph, the assignment x := a + b + x + y in process P assigns to variable x the sum of four values. Since a and x are variables of process P , their values are the latest ones assigned to them by process P , or their initial values if process P has not assigned to them. Since b is a boundary variable of process Q , its value, as seen in P , is its initial value, regardless of whether Q has assigned to it. Since y is an interactive variable of process Q , its value, as seen in P , is the latest one assigned to it by process Q , or its initial value if Q has not assigned to it, or unknown if Q is in the middle of assigning to it. Since x is an interactive variable, its new value can be seen in all parallel processes.
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A+Practical+Theory+of+Programming+11(1) - 126 9 Interaction...

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