Search results
Results from the WOW.Com Content Network
In video games using procedural world generation, the map seed is a (relatively) short number or text string which is used to procedurally create the game world ("map"). "). This means that while the seed-unique generated map may be many megabytes in size (often generated incrementally and virtually unlimited in potential size), it is possible to reset to the unmodified map, or the unmodified ...
Maps (Worlds) can be generated, either randomly, using a seed, or via third party tools. The distribution of POIs and loot is also generative. Anarchy Online: 2001 Funcom Mission rewards, loot, dungeon layout, and location on the world map can be generated based on selections made at mission terminals. [6] [unreliable source] Astroneer: 2019
Different models can be generated by changing both deterministic parameters and a random seed. In computing , procedural generation is a method of creating data algorithmically as opposed to manually, typically through a combination of human-generated content and algorithms coupled with computer-generated randomness and processing power.
Terraria (/ t ə ˈ r ɛər i ə / ⓘ tə-RAIR-ee-ə [1]) is a 2011 action-adventure sandbox game developed by Re-Logic. The game was first released for Windows and has since been ported to other PC and console platforms.
Random maps typically have a certain theme - for example a naval random map with many small islands, or a 'gold rush' map with a large amount of gold in the center of the map. The type of random map may also influence the game's artificial intelligence, with the AI employing different strategies optimized for each random map.
Rust is a multiplayer survival video game developed by Facepunch Studios. It was first released in early access in December 2013 and received its full release in February 2018. Rust is available on Windows and macOS .
A random seed (or seed state, or just seed) is a number (or vector) used to initialize a pseudorandom number generator.. A pseudorandom number generator's number sequence is completely determined by the seed: thus, if a pseudorandom number generator is later reinitialized with the same seed, it will produce the same sequence of numbers.
Intuitively, an extractor takes a weakly random n-bit input and a short, uniformly random seed and produces an m-bit output that looks uniformly random. The aim is to have a low d {\displaystyle d} (i.e. to use as little uniform randomness as possible) and as high an m {\displaystyle m} as possible (i.e. to get out as many close-to-random bits ...