BRICKS

Bayesian Representation and Inference for Complex Knowledge Structuring

BRICKS is a probabilistic relational modeling framework that supports creating and utilizing models of large-scale and complex systems. The BRICKS methodology consists of two distinct elements:

• The probabilistic modeling phase, which produces a generic knowledge of BRICKS classes
• The instantiation phase,

Examples of BRICKS applications:

• Operational risk assessment of an aircraft fleet
• Assessment of the risk of collapse of an offshore platform given structural redundancy
• End-user tool for instantiating and evaluating a knowledge base regarding risks in nuclear facilities

The BRICKS Technology Platform

For more information about BRICKS, please contact us at bricks-cs@bayesia.com.