{
  "id": 4440484,
  "title": "BFS, DFS and UCS Beginners guide",
  "url": "https://urgent.news/2026/08/30/bfs-dfs-and-ucs-beginners-guide",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-08-30T14:26:36.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/xpdkasun/bfs-dfs-and-ucs-beginners-guide-10a8"
  },
  "original_language": "en",
  "account": "Searching is a crucial activity that manifests in various forms, such as query, find, detect, and check. While running a search is often straightforward, implementing one can be challenging. Consider a relational database table, where searching for a record using SQL is relatively simple. However, implementing this search within a database management system may prove complex.\n\nAn example of searching is finding an item within an array, a task we frequently perform using our language or library. On occasion, however, searching can be more intricate and generalized. For instance, determining the optimal move in a finite amount of time during a chess game requires this type of search problem.\n\nThree widely applicable searching algorithms under the umbrella of uninformed search in artificial intelligence are Breadth First Search, Depth First Search, and Uniform Cost Search. Breadth First Search begins by identifying the source, which could be a table, graph, or collection of files. The algorithm then requires a starting point and a target for the search. To ensure the search's success, the target must be part of the source; otherwise, the search will fail.\n\nBreadth First Search entails an expansive search that thoroughly covers the entire source.",
  "summary": "It's amazing how the term \"searching\" can be applied to many difference problems we have on our hand. Searching, is one of the most important activity that comes under different names. Query, find, detect, check ...etc. All these words can be taken under the term searching. Often times running a search is an easier task. But implementing a search is not. Think about a relational database table.…",
  "key_points": [
    "Breadth First Search starts from a source, like a table or graph",
    "It expands outward, covering the entire source exhaustively",
    "Depth First Search and Uniform Cost Search are other uninformed search algorithms"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}