Please be advised that our home had substantial smoke and ash after the Moun­tain fire. We were one of the first homes serviced by Servpro for smoke and ash. We had extensive needs, including ...

We present ‘NeuralConstraints,’ a suite of computer-assisted composition tools that integrates a feedforward neural network as a rule within a constraint-based composition framework.

Logical reasoning remains a crucial area where AI systems struggle despite advances in processing language and knowledge. Understanding logical reasoning in AI is essential for improving automated ...

Since the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral ...

Solver that Uses Constraint Satisfaction Problem to solve Crossword Puzzles. It integrates a heuristic and NetworkX to create a constraint graph.

ABSTRACT: The phenomenon of phase transition in constraint satisfaction problems (CSPs) plays a crucial role in the field of artificial intelligence and computational complexity theory. In this paper, ...

Abstract: Many natural combinatorial problems can be expressed as constraint satisfaction problems. This class of problems is known to be NP-complete in general, but certain restrictions on theform of ...

ABSTRACT: This paper analyzes the resolution complexity of a random CSP model named model RBmix, the instance of which is composed by constraints with different length. For model RBmix, the existence ...

An optaplanner planning problem related to satellites and tasks to assign to visibilities zones linked to that satellites. Used Quarkus and Constraint Streams. Tiny framework for solving constraint ...