Results 61 to 70 of about 5,971,608 (284)

Cores of Countably Categorical Structures [PDF]

open access: yesLogical Methods in Computer Science, 2007
A relational structure is a core, if all its endomorphisms are embeddings. This notion is important for computational complexity classification of constraint satisfaction problems.
Manuel Bodirsky
doaj   +1 more source

Joining Constraint Satisfaction Problems and Configurable CAD Product Models: A Step-by-Step Implementation Guide

open access: yesAlgorithms, 2022
In configuration design, the task is to compose a system out of a set of predefined, modu-lar building blocks assembled by defined interfaces. Product configuration systems, both with or without integration of geometric models, implement reasoning ...
Paul Christoph Gembarski
doaj   +1 more source

A Meta Constraint Satisfaction Optimization Problem for the Optimization of Regular Constraint Satisfaction Problems

open access: yesProceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019
This paper describes a new approach on optimization of regular constraint satisfaction problems (rCSPs) using an auxiliary constraint satisfaction optimization problem (CSOP) that detects areas with a potentially high number of conflicts. The purpose of this approach is to remove conflicts by the combination of regular constraints with intersection and
Sven Löffler   +2 more
openaire   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

open access: yesAdvanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari   +5 more
wiley   +1 more source

Constraint Satisfaction Problems over Numeric Domains [PDF]

open access: yes, 2017
We present a survey of complexity results for constraint satisfaction problems (CSPs) over the integers, the rationals, the reals, and the complex numbers.
Mamino, Marcello, Bodirsky, Manuel
core   +1 more source

Solving finite-domain linear constraints in presence of the $\texttt{alldifferent}$ [PDF]

open access: yesLogical Methods in Computer Science, 2017
In this paper, we investigate the possibility of improvement of the widely-used filtering algorithm for the linear constraints in constraint satisfaction problems in the presence of the alldifferent constraints. In many cases, the fact that the variables
Milan Banković
doaj   +1 more source

Caterpillar Duality for Constraint Satisfaction Problems [PDF]

open access: yes2008 23rd Annual IEEE Symposium on Logic in Computer Science, 2008
The study of constraint satisfaction problems definable in various fragments of Datalog has recently gained considerable importance. We consider constraint satisfaction problems that are definable in the smallest natural recursive fragment of Datalog - monadic linear Datalog with at most one EDB per rule.
Catarina Carvalho   +2 more
openaire   +2 more sources

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter   +10 more
wiley   +1 more source

An improved constraint satisfaction adaptive neural network for job-shop scheduling [PDF]

open access: yes, 2010
Copyright @ Springer Science + Business Media, LLC 2009This paper presents an improved constraint satisfaction adaptive neural network for job-shop scheduling problems.
Yang, S   +11 more
core   +1 more source

Constraint models for complex state transitions

open access: yesComputer Assisted Methods in Engineering and Science, 2022
Constraint-based scheduling is an approach for solving real-life scheduling problems by combining the generality of AI techniques with the efficiency of OR techniques. Basically, it describes a scheduling problem as a constraint satisfaction problem and
Roman Bartak
doaj  

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