Edge classes in a Depth-first search tree based on a spanning tree
The edges of the depth-first search tree can be divided into four classes based on the spanning tree, they are
- Forward edges: The forward edge is responsible for pointing from a node of the tree to one of its successors.
- Back edges: The back edge holds the power of directing its edge from a node of the tree to one of its ancestors.
- Tree edges: When DFS explores the new vertex from the current vertex, the edge connecting them is called a tree edge. It is essential while constructing a DFS spanning tree because it represents the paths to be followed during the traversal.
- Cross edges: Cross edges are the edges that connect two vertices that are neither ancestors nor descendants of each other in the DFS tree.
Depth First Search (DFS) for Artificial Intelligence
Depth-first search contributes to its effectiveness and optimization in artificial intelligence. From algorithmic insights to real-world implementations, DFS plays a huge role in optimizing AI systems. Let’s dive into the fundamentals of DFS, its significance in artificial intelligence, and its practical applications.
Table of Content
- What is a Depth-First Search in AI?
- Edge classes in a Depth-first search tree based on a spanning tree:
- Depth First Search(DFS) Algorithm
- DFS Behavior Across Different State Space Structures
- DFS Implementation in Robotics Pathfinding
- Applications of DFS in AI
- Conclusion
- FAQs on Depth First Search(DFS) for Artificial Intelligence
Contact Us