My Account
Forward Thinking Logo

What is Constraint Satisfaction Problems (CSPs)?

Skill Level:

Constraint Satisfaction Problems are mathematical problems where a set of variables must satisfy a given set of constraints. CSPs are used in AI for tasks such as scheduling, resource allocation, and puzzle-solving. Techniques like Backtracking and Constraint Propagation are used to find feasible solutions.

Other Definitions

Multimodal Learning

Multi-Modal learning refers to AI models that learn from multiple sources of data, such as text, images, and audio. By incorporating information from multiple…

Distributed Computing

istributed Computing refers to the use of multiple computers or servers to perform computational tasks in a networked environment. It enables businesses to process…

Zero-Shot Learning

Zero-Shot Learning is an AI approach that enables models to learn to recognise new classes or concepts without explicit training examples. This is achieved…

Regression Analysis

Regression Analysis is a statistical technique used to determine the relationship between independent variables and a dependent variable. By analysing historical data, businesses can…
Back to Glossary