Abstract
A constraint is a piece of (partial) information on the values of the variables of a system. Concurrent constraint programming (ccp) is a model of concurrency in which agents (also called processes) interact by telling and asking information (constraints) to and from a shared store (a constraint). Timed (or temporal) ccp (tccp) extends ccp by agents evolving over time. A distinguishing feature of tccp, is that it combines in one framework an operational and algebraic view from process algebra with a declarative view based upon temporal logic. Tccp has been widely used to specify, analyze and program reactive systems. This note provides a comprehensive introduction to the background for and central notions from the theory of tccp. Furthermore, it surveys recent results on a particular tccp calculus, ntcc , and it provides a classification of the expressive power of various tccp languages.
| Original language | English |
|---|---|
| Pages (from-to) | 702-741 |
| Number of pages | 40 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 3098 |
| DOIs | |
| State | Published - 2004 |
| Externally published | Yes |
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