Machine Learning Introduction
What is machine learning ?
Machine learning - (Machine Learning) is an extensive subsection of artificial intelligence that studies methods of constructing algorithms that can be trained. There are two types of training: case studies, or inductive training, is based on the identification of patterns in empirical data; deductive training involves formalizing the knowledge of experts and transferring them to the computer as a knowledge base. Deductive learning is usually referred to the field of expert systems, so the terms
machine learning and training by use of precedents can be considered synonymous. Many methods of inductive learning were developed as an alternative to classical statistical approaches.Robots Take Over Jobs entire techno think tanks are predicting.what is machine learning algorithm ?
Artificial Intelligence created levels for Doom no worse than humans
Can you provide a modern three-dimensional shooter with an infinite number of different levels? You can, if you train artificial intelligence to create them. This is what the researchers from the Polytechnic University of Milan have been doing. Their algorithms are trained on the well-known game Doom.
How Frightened Should We Be of AI ?
Three-dimensional shooter Doom appeared 25 years ago thanks to the talented programmer John Carmack. He for a long time lingered on the drives of personal computers because of the efforts of John Romero and American McGee, who created the levels for the game. In addition, id Software released a level editor that allowed players to add a continuation to the game for free.
The continued popularity of the game and the huge number of levels created by real people made Doom ideal for training artificial intelligence. But we should pay tribute to the researchers from the University of Milan. They applied a very interesting approach to their task.
An adversarial network was created. Two algorithms have studied thousands of levels of Doom, created during the entire existence of the game. After that, one of them began to compose his own levels, and the second compared the levels created by people with levels created with the help of artificial intelligence. If the algorithm could not distinguish the level for the game that created another algorithm, from the levels created by people, such a level was considered suitable for the game.
AI Takeover Future of machine learning
Of course, now very few people play Doom, but this approach can be used for any modern game. It is important only to train well the artificial intelligence, and then people like Romero and McGee will no longer have work.