Reasoning with Probabilistic and Deterministic Graphical Models

Graphical models serve as a crucial framework for knowledge representation and reasoning in artificial intelligence and computer science. They facilitate various reasoning tasks, including scheduling, planning, diagnosis, and bioinformatics, by framing them as formal challenges like constraint satisfaction and probabilistic inference. Although these tasks are computationally complex, advancements over the past thirty years have introduced numerous principles and techniques that enhance our understanding and capabilities in this field.