Logic/Constraint Programming and Concurrency: The hard-won lessons of the Fifth Generation Computer project

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


The technical goal of the Fifth Generation Computer Systems (FGCS) project (1982–1993) was to develop Parallel Inference technologies, namely systematized technologies for realizing knowledge information processing on top of parallel computer architecture. The Logic Programming paradigm was adopted as the central working hypothesis of the project. At the same time, building a large-scale Parallel Inference Machine (PIM) meant to develop a novel form of general-purpose computing technologies that are powerful enough to express various parallel algorithms and to describe a full operating system of PIM. Accordingly, the research goal of the Kernel Language was set to designing a concurrent and parallel programming language under the working hypothesis of Logic Programming. The aim of this article is to describe the design process of the Kernel Language (KL1) in the context of related programming models in the 1980s, the essence of Concurrent Logic Programming and Constraint-Based Concurrency, and how the technologies we developed in those days evolved after their conception.

Original languageEnglish
Pages (from-to)3-17
Number of pages15
JournalScience of Computer Programming
Publication statusPublished - 2018 Oct 15


  • Concurrent Logic Programming
  • Constraint-Based Concurrency
  • Fifth Generation Computer Systems project
  • Logic Programming

ASJC Scopus subject areas

  • Software


Dive into the research topics of 'Logic/Constraint Programming and Concurrency: The hard-won lessons of the Fifth Generation Computer project'. Together they form a unique fingerprint.

Cite this