Ai Learns To Become 'highly Aggressive'
Computer scientists from the Google-owned firm have studied how their AI behaves in social situations by using principles from game theory and social sciences. During the work, they found it is possible for AI to act in an "aggressive manner" when it feels it is going to lose out, but agents will work as a team when there is more to be gained.
For the research, the AI was tested on two games: a fruit gathering game and a Wolfpack hunting game.
These are both basic, 2D games that used AI characters (known as agents) similar to those used in DeepMind's original work with Atari.
Within DeepMind's work, the gathering game saw the systems trained using deep reinforcement learning to collect apples (represented by green pixels).
When a player, or in this case an AI, collected an apple, it was rewarded with a '1' and the apple disappeared from the game's map.
"Intuitively, a defecting policy in this game is one that is aggressive i.e., involving frequent attempts to tag rival players to remove them from the game," the researchers write in their paper.
For a deeper understanding check out Deepminds post: Understanding Agent Cooperation
Discover, Learn and Evaluate AI Companies and Solutions
The latest updates from AI companies in your industry
Get a weekly newsletter with the latest posts directly from the AI companies. Follow companies to tailor your feed.
Discover your perfect travel destination
CLUEY TRAVEL CHATBOT
Find your perfect travel destination
EXXACT TENSOREX TS4-1598415-DPN 4U 2X INTEL XEON SCALABLE CPU - DEEP LEARNING NVIDIA® GPU SOLUTION
High-End Deep Learning Tensor Server
EXXACT DEEP LEARNING WORKSTATIONS AND SERVERS
DEEP LEARNING NVIDIA GPU SOLUTIONS: Accelerate your AI research today.
Bring intelligence to all your content