As impressive as such technology has been among gamers, many artificial-intelligence experts question whether it will ultimately translate to solving real-world problems. DeepMind’s agents are not really collaborating, said Mark Riedl, a professor at Georgia Tech College of Computing who specializes in artificial intelligence. They are merely responding to what is happening in the game, rather than trading messages with one another, as human players do. (Even mere ants can collaborate by trading chemical signals.)

Chess and Go were child’s play. Now A.I. is winning at capture the flag. Will such skills translate to the real world?

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Annihilation is an upcoming science fantasy action horror film written for the screen and directed by Alex Garland based on the novel of the same name by Jeff VanderMeer. The film stars Natalie Portman, Jennifer Jason Leigh, Gina Rodriguez, Tessa Thompson, Tuva Novotny, and Oscar Isaac.

Having previously written screenplays for cult classics like 28 Days Later and Dredd, Garland’s Ex Machina is arguably the definitive film about artificial intelligence (and killer robots) of the 21st century. And that was only his directorial debut.

By pieter spronck and jaap van den herik

While the audiovisual qualities of games have improved significantly over the last twenty years, game artificial intelligence (AI) has been largely neglected. Since the turn of the century game development companies have discovered that nowadays it is the quality of the game AI that sets apart good games from mediocre ones. The Institute of Knowledge and Agent Technology (IKAT) of the Universiteit Maastricht examines methods to enhance game AI with machine learning techniques. Several typical characteristics of games, such as their inherent randomness, require novel machine learning approaches to allow them to deal with game AI.

Most commercial computer games contain computer-controlled agents that oppose the human player. ‘Game AI’ encompasses the decision-making capabilities of these agents. For implementing game AI, especially for complex games, developers usually resort to rule-based techniques in the form of scripts. Scripts have the advantage that they are easy to understand and can be used to implement fairly complex behaviour.

Video games have increasingly demonstrated a great deal of audiovisual realism, in par with the massive performance improvement of computer systems. At the.

The AI taught itself the skill through a technique called reinforcement learning — essentially, it picked up the rules of the game over thousands of matches in randomly generated environments.

A paper on their research was published today in Science.

“How you define teamwork is not something I want to tackle,” Max Jaderberg, a DeepMind researcher who worked on the project told The New York Times. “But one agent will sit in the opponent’s base camp, waiting for the flag to appear, and that is only possible if it is relying on its teammates.”