BEST FIRST SEARCH

[Virtual Presenter] Good morning/ afternoon/ evening everyone! It's time to start our presentation about Best First Search, an Artificial Intelligence algorithm. By the end of this presentation, you should have a better understanding of what it is and how it works. Let's begin!.

[Audio] Best-first search is a method of artificially intelligent problem solving that combines the advantages of Depth-first search and Breadth-first search. Depth-first search allows for only one path at a time to be explored, yet does not require expanding all competing branches, thereby saving time. Breadth-first search prevents exploring down dead-end paths while still exploring large areas. Therefore, Best-first search follows a single path at a time, but switches paths whenever a more promising branch is discovered..

[Audio] BFS is a powerful algorithm utilized in Artificial Intelligence. It enables us to explore a problem from multiple angles and from that point select the most promising solution of the accessible alternatives. By implementing the rules of the algorithm, we form the successors of each node and judge each limb of the OR-graph utilizing a suitable heuristic capacity. Through this approach, we can most accurately recognize the most beneficial route obtainable for problem solving..

[Audio] Best first search is a variant of the uniform-cost search, which is part of artificial intelligence. It is used to find the shortest path from a start node to a goal node, or to identify the best solution among a set of solutions. It is based on a priority queue, which visits the most promising node first and keeps track of open and closed nodes. Types of best first search are greedy best first, A* search, and Hill climbing, each prioritizing open nodes according to its own approach, making them effective in different contexts..

[Audio] Best first search is an artificial intelligence algorithm which aids in finding a route from a specified initial state to a defined goal state. A priority queue is employed to store the states and cycles through them in an order of priority until the mentioned goal state is discovered. To construct this queue, the initial state is put into the queue and is then taken away and followed by the insertion of its successor states. Of those successor states, the one with the highest potential is placed at the front of the queue and the process repeats until the goal state has been reached. This algorithm is an effective tool for uncovering the most desired routes through complicated problems..

[Audio] Breadth-First Search is an algorithm used in Artificial Intelligence for searching a goal in a graph or tree structure. It offers many benefits in comparison to other algorithms, including being able to discover the shortest route from the starting point to the goal. Furthermore, it is usually swifter than other algorithms, such as Depth-First Search, as it extends all the nodes at every level before advancing. However, BFS can be slow, as it necessitates to examine all the nodes at each level..