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CHIP (programming language)

Known as: CHIP programming language, Chip 
CHIP (Constraint Handling in Prolog) is a constraint logic programming language developed by M. Dincbas and alias in 1985 at ECRC, initially using a… 
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Related topics

Related topics

5 relations
C++Constraint programmingILOGProlog

Broader (1)

Constraint logic programming

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
What Language Do You Use to Create Your AI Programs and Why?
When ‘AI Languages’ was proposed as a special topic for this journal, a lively discussion started between the editors. On the one… 
2003
2003
Reduce-To-The-Opt - A Specialized Search Algorithm for Contiguous Task Scheduling
A relevant class of real-world scheduling problems, e.g. for assembly lines, service centres but also for surgeries in operation… 
2000
2000
A Combined Approach to High-Level Synthesis for Dynamically Reconfigurable Systems
In this paper, two complementary design models and related synthesis techniques are combined to capture behavioral and structural… 
1997
1997
CSL. I. Modelling general N-ary, logical CSPs
Examines and details the motivations and design of a constraint specification language (CSL) for user-defined constraints. Many… 
1995
1995
Risc-clp(tree(()) a Constraint Logic Programming System with Parametric Domain
Current implementations of constraint logic programming languages (like CLP(<), CHIP or RISC-CLP(Real) support constraint solving… 
1994
1994
Experiences in using Prolog to develop a practical constraint solver
  • P. Lim
  • Proceedings Sixth International Conference on…
  • 1994
  • Corpus ID: 42815265
Sophisticated Prolog implementations like ECL/sup i/PS/sup e/, with automatic memory management and facilities for data-driven… 
1993
1993
CHIP in plain logic
The programming language Prolog allows succinct representation of a wide variety of scheduling problems. To speed up execution, a… 
1990
1990
A Constraint Logic Programming Shell
The Constraint Logic Programming (CLP) scheme generalizes the model-theoretic and operational models of logic programming to… 
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