Logic and graph theory form the basis of a fascinating interplay between combinatorial structures and their algorithmic properties. Some of the most important examples of this are relations between logic, hypergraphs and constraint satisfaction problems, graph width parameters, and connections with monadic second-order logic.

The interaction between logic and graphs have had an important impact on applications in computer science, from database query optimization to temporal reasoning and verification, as well as identifying tractable cases of their relevant constraint satisfaction problems.

In this brief talk, we will explore a number of themes in which logic and algorithmic graph theory have influenced each other.

On the Effectiveness of Logic in Algorithmic Graph Theory