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Computational intelligence in creating procedurally-generated content for video games

University professor Innopolis Joseph Brown (Canada) recorded a webinar for the 2015 IEEE CIS Webinars Competition on computational intelligence in creating procedurally-generated content for video games.

Procedural Content Generation (PCG) allows you to create content based on the parameters of design decision models with minimal user intervention or offers several possible solutions. Techniques involving the use of generative methods, search algorithms and evolution allow the developer to control the scope of design parameters. These are the advanced techniques applied in the latest tools and resources of development of video of games. They provide an increase in replayability , lower costs and starting points for creating resources, and also take into account individual gaming experience. These methods are already used in other industries, in particular, in fashion, architecture and industrial design.

The webinar reviewed the current point of view on procedurally-generated content (PCG) using biotechnological search for developing levels and placing the enemy in the game. Professor Brown examines examples of current independent video games (indie games) and AAA class games, as well as talks about how these techniques are currently used and will be used in the future.
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Procedural Content Generation (PCG).

Techniques involving generative methods, search based algorithms and evolution, give the designer control over large design spaces. What are the ways of personal life? They have also found their way into other industries, such as fashion, architecture, and industrial design. It will be a biochemistry for bioscience and biology. Dr. It will be used in the near future. The
it will be like space. Most importantly, you can evaluate your design.

Source: https://habr.com/ru/post/271767/


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