Branching vs. Linear Time: Semantical Perspective

The discussion in the computer-science literature of the relative merits of linear- versus branching-time frameworks goes back to early 1980s. One of the beliefs dominating this discussion has been that the linear-time framework is not expressive enough semantically, making linear-time logics lacking in expressiveness. In this work we examine the branching-linear issue from the perspective of process equivalence, which is one of the most fundamental notions in concurrency theory, as defining a notion of process equivalence essentially amounts to defining semantics for processes. Over the last three decades numerous notions of process equivalence have been proposed. Researchers in this area do not anymore try to identify the “right” notion of equivalence. Rather, focus has shifted to providing taxonomic frameworks, such as “the linear-branching spectrum”, for the many proposed notions and trying to determine suitability for different applications. We revisit here this issue from a fresh perspective. We postulate three principles that we view as fundamental to any discussion of process equivalence. First, we borrow from research in denotational semantics and take observational equivalence as the primary notion of equivalence. This eliminates many testing scenarios as either too strong or too weea. Second, we require the description of a process to fully specify all relevant behavioral aspects of the process. Finally, we require observable process behavior to be reflected in its input/output behavior. Under these postulates the distinctions between the linear and branching semantics tend to evaporate. As an example, we apply these principles to the framework of transducers, a classical notion of state-based processes that dates back to the 1950s and is well suited to hardware modeling. We show that our postulates result in a unique notion of process equivalence, which is trace based, rather than tree based.