Section: Scientific Foundations
Concurrent constraint programming
Participants : Andrés Aristizábal, Sophia Knight, Luis Fernando Pino Duque, Frank Valencia.
Concurrent constraint programming (ccp) is a well-established process calculus  for modeling systems where agents interact by adding and asking information in a global store. This information is represented as first-order logic formulae, called constraints, on the shared variables of the system (e.g., ). The most distinctive and appealing feature of ccp is perhaps that it unifies in a single formalism the operational view of processes based upon process calculi with a declarative one based upon first-order logic. It also has an elegant denotational semantics that interprets processes as closure operators (over the set of constraints ordered by entailment). In other words, any ccp process can be seen as an idempotent, increasing, and monotonic function from stores to stores. Consequently, ccp processes can be viewed at the same time as computing agents, formulae in the underlying logic, and closure operators. This allows ccp to benefit from the large body of techniques of process calculi, logic and domain theory.
Our research in ccp develops along the following two lines: