PARLOG: parallel programming in logic
ACM Transactions on Programming Languages and Systems (TOPLAS) - The MIT Press scientific computation series
Object-oriented programming in Prolog
AI Expert
Concurrent Prolog: A Progress Report
Computer
Programs as collections of communicating Prolog units
Proc. of the European symposium on programming on ESOP 86
An experience with a Prolog-based object-oriented language
OOPLSA '86 Conference proceedings on Object-oriented programming systems, languages and applications
Objects in concurrent logic programming languages
OOPLSA '86 Conference proceedings on Object-oriented programming systems, languages and applications
Objects as communicating Prolog units
European conference on object-oriented programming on ECOOP '87
Logic programming in simulation
Transactions of the Society for Computer Simulation International
Object-oriented concurrent programming
Object-oriented concurrent programming
Structured programming
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SCOOP is an experimental language implemented in Prolog that tries to combine the best of logic, object-oriented and concurrent programming in a structured, natural and efficient manner. SCOOP provides hierarchies of object classes. These objects behave as independent Prolog programs with private databases which can execute goals within other objects.SCOOP also supports parallel processes, synchronised by the exchange of messages. For simulation, a sequencing set and primitives concerned with simulated time are provided. Thus, SCOOP has the ability to describe structured dynamic systems and to encode knowledge.The important features of SCOOP are 1) its lexical block structure designed to promote and enforce modularity and to allow verification and optimisation via a compiler, 2) its combination of familiar programming cliches: the concepts of Simula67 for macro-structuring of entities and those of standard Prolog (unification & backtracking) for local behaviour, 3) its provision for parallel activity with a clear distinction between static objects and dynamic processes and 4) its discrete simulation capability.