Facebook Has Made An Artificial Intelligence Assistant For Minecraft

Facebook Has Made An Artificial Intelligence Assistant For Minecraft

Artificial Intelligence is all the rage in today’s ‘technologic’ world where researchers are trying to find more applications for human benefit. Of course, AI is faster and has better problem solving capabilities compared to human beings but it lacks multitasking skills.

Researchers at Facebook are using an interesting method to develop AI that will be good at multitasking and not just a single task. As reported by MIT Technology Review, people at Facebook Research are using Minecraft to train AI that can interact with humans and perform a plethora of tasks as requested. Minecraft is an open world sandbox video game where a seemingly infinite world with different biomes and mobs within which players can build, craft and survive with various online game modes designed by players and create beautiful ‘blocky’ structures from statues to cities.

While the expanse of the game is infinite with a huge variety, the rules of the game are relatively simple and easy to understand which make the various outcomes within the game easy to predict and the AI can be prepared accordingly. The number of tasks that can be performed by players in the video game might seem a lot but each one of the tasks is fairly simple and is a good way to teach multitasking.

It is difficult for AI to recognize complex commands and what every word means in the statement as explained in the post on Technology Review. A command like, “Build a tower 15 blocks tall and put a smiley on top”, the AI would need to know what qualifies as a tower and what is a smiley. These can be taught with countless human interactions that can be achieved with the massive player base Minecraft has with over 90 million players logging on every month.

A basic version with AI assistant is available for download. The prospect of having an artificial intelligence assistant to build your next big project in Minecraft is surely enticing and worth a try. A detailed study has been published on arXiv.

[“source=mashable”]

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