Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...
The team also constructed another form of equivalence tools for graph coloring problems and identified conditions under which the absence of these tools can be predicted. This finding provides ...
If you’ve ever completed a sudoku puzzle, then you’ve completed a constraint satisfaction problem (CSP). This type of problem is defined as a mathematical question where a number of constraints or ...
Recently, the Beijing Zhiyuan Artificial Intelligence Research Institute (referred to as "Zhiyuan Institute") released the open-source dataset InfoSeek, becoming the first large-scale open-source ...
An instance of a random constraint satisfaction problem defines a random subset ${\cal S}$ (the set of solutions) of a large product space ${\cal X}^{N}$ (the set of assignments). We consider two ...
RODOS is a Real-time On-line DecisiOn Support system intended for use throughout a nuclear emergency, extending into the longer term. In this paper we concentrate on the early phases in which ...
MIT researchers are using generative AI models to help robots more efficiently solve complex object manipulation problems, such as packing a box with different objects. CAMBRIDGE, Mass. -- Anyone who ...
If you’ve ever completed a sudoku puzzle, then you’ve completed a constraint satisfaction problem (CSP). This type of problem is defined as a mathematical question where a number of constraints or ...
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