Assigning Satisfaction Values to Constraints: An Algorithm to Solve Dynamic Meta-Constraints
Janet van der Linden
Abstract
The model of Dynamic Meta-Constraints has special activity constraints which can activate other constraints. It also has meta-constraints which range over other constraints. An algorithm is presented in which constraints can be assigned one of five different satisfaction values, which leads to the assignment of domain values to the variables in the CSP. An outline of the model and the algorithm is presented, followed by some initial results for two problems: a simple classic CSP and the Car Configuration Problem. The algorithm is shown to perform few backtracks per solution, but to have overheads in the form of historical records required for the implementation of state.
Create a lesson
Related papers
Verified Implementation of the Next-gen Borrow Checking Algorithm for Rust via Abstract Interpretation
Jinhua Wu, Yuting Wang, Zhemin Chen
TauLang: A Language and Compiler for Space-Time Programming on Statically Scheduled Accelerators
Xuxiao Yang, Junchi Wu, Feiyang Wu et al.
Demystifying Information Flow Downgrading using the Real--Ideal Paradigm
Suraaj Kanniwadi, Andrew C. Myers
Linking as Evaluation: Correct Separate Compilation via First-Class Environments
Jam Kabeer Ali Khan, Jinhao Tan, Bruno C. d. S. Oliveira
Properly defining Erlang lists
Albert Schimpf, Stefan Wehr, Annette Bieniusa
Proving the Wrong Program: Miscompilations as a Threat to zkVM Guarantees
Hui Xuan Tan, Stefanos Chaliasos, Alastair F. Donaldson