Goto

Collaborating Authors

 Large Language Model


Google's Ai is Greedy As Much As Humans

#artificialintelligence

Google's artificial intelligence DeepMind, became famous by beating the South Korean, professional GO player Lee Sedol. Lee Sedol played a historic five game match against Google DeepMind's AlphaGo computer program in March 2016. AlphaGo won the match and became the world's very first computer which had defeated a world class human player on GO. After achieving the impossible, DeepMind now has a very different challenge to focus on; Social Dilemmas. The Artificial Intelligence (AI) department of Google developed and used new theoretic game scenarios to see if AI can learn to work together for a mutual benefit or not.


Only humans, not computers, can learn or predict

#artificialintelligence

Joab Rosenberg is the former deputy head analyst for the Israeli government and CEO of Epistema. Nature magazine announced in late January that a computer designed by Google's DeepMind defeated a human master in the ancient Chinese board game, "Go." This impressive achievement once again raised the expectations for a predicted future in which computers will have artificial intelligence, with major media outlets worldwide touting this anticipated future. One of the major questions raised in response to DeepMind's achievement is what are the outer limits, if any, of intelligent machines? In November of last year, Dr. Kira Radinsky, a computer scientist and "machine learning" expert, argued in the Israeli newspaper "Ha'aretz" that computers will be able to accurately predict the outcome of the Israeli-Palestinian conflict.


What happens when robots have opposing tasks? Teach them to cooperate

#artificialintelligence

AI are going to control more of our lives in the future, so making sure they work together is of great importance. What happens when an immovable object meets an unstoppable force? That is an age-old conundrum Google is trying to solve, as when you have two artificial intelligence systems that are programmed to complete conflicting tasks, how do you stop them from fighting about it? To that end, Google is using its DeepMind subsidiary to figure out how to have AIs play nicely together. DeepMind is running experiments on robotic "social dilemmas" and published the results in a new report, The Verge reported.


DeepMind AI learns to act aggressive when it doesn't get its way TheINQUIRER

#artificialintelligence

GOOGLE'S ARTIFICIAL INTELLIGENCE (AI) has already started to show some evidence of personality traits, but now DeepMind is learning to show signs of aggression when it thinks it's not going to get its own way. Sound like anyone you know? Where multiple instances of DeepMind are running they can, on the other hand, agreed to work together for a common goal should they believe there's more to be gained by doing so. It may occur to you as it has to us, that words like "aggression" and phrases like "working together" are exactly the sort of thing that doomsayers pick up on in predicting mankind's demise at the hands of robot overlords. However, this early research based primarily around game theory is experimental in nature and about as scary as BluTac.


Google's DeepMind tests AI vs AI to see if they become 'aggressive' or cooperate

#artificialintelligence

Google's artificial intelligence subsidiary DeepMind is pitting AI agents against one another to test how they interact with each other and how they would react in various "social dilemmas". In a new study, researchers said they used two video games โ€“ Wolfpack and Gathering โ€“ to examine how AI agents change the way they behave based on the environment and situation they are in using social sciences and game theory principles. "The question of how and under what circumstances selfish agents cooperate is one of the fundamental questions in the social sciences," DeepMind researchers wrote in a blog post. "One of the simplest and most elegant models to describe this phenomenon is the well-known game of Prisoner's Dilemma from game theory." This well-known principle is based on the scenario where two arrested suspects jointly accused of a crime are questioned separately.


Machine VS Machine, Google DeepMind Is Making Artificial Intelligence Fight Each Other - EconoTimes

#artificialintelligence

In a world where it is becoming increasingly clear that the age of artificial intelligence is inevitable, much of the fear directed towards the technology has to do with machines eliminating humans. This hasn't happened yet, but what better way to speed up the process than by having AIs practice fighting each other first? This is exactly what Google's DeepMind is trying to do just to see what would happen. Now, it's important to keep in mind that DeepMind is not out to create violent robots on purpose. Rather, what it is trying to accomplish is determine how AIs react to particular situations where they are required to engage opposing forces or challenges, Engadget reports.


DeepMind: AIs have the potential to become 'aggressive' or work in teams

#artificialintelligence

Artificial intelligence (AI) agents have the potential to become aggressive or work in teams, according to researchers at DeepMind. A paper released by five computer scientists from the London-based company, which is owned by Google, used games to look at how AIs behave alongside one another. Joel Leibo, a research scientist at DeepMind and the lead author on the paper, told Business Insider on Thursday: "We were interested in the factors affecting cooperation." When asked about AI aggression, Leibo stressed: "We have to be careful not to anthropomorphise too much. These are toy problems aimed at exploring cooperative versus competitive dynamics." Describing the study in a blog post on the DeepMind website, the researchers said that they used two basic video games called "Wolfpack" and "Gathering" to analyse the behaviour of AI agents.


DeepMind's AI has learnt to become 'highly aggressive' when it feels like it's going to lose

#artificialintelligence

Artificial intelligence changes the way it behaves based on the environment it is in, much like humans do, according to the latest research from DeepMind . 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.


DeepMind is using games to test AI aggression and cooperation

#artificialintelligence

To test its AI agents, DeepMind developed two new games, called Gathering and Wolfpack. In Gathering, two colored squares are tasked with picking up "apples" in the middle of the screen. They can also fire a laser which, if accurate, removes the other character from the game temporarily. How co-operative or combative would they be? Unsurprisingly, the pair was quite peaceful at the start, collecting apples at a steady pace.


Google's DeepMind pits AI against AI to see if they fight or cooperate

#artificialintelligence

In the future, it's likely that many aspects of human society will be controlled -- either partly or wholly -- by artificial intelligence. AI computer agents could manage systems from the quotidian (e.g., traffic lights) to the complex (e.g., a nation's whole economy), but leaving aside the problem of whether or not they can do their jobs well, there is another challenge: will these agents be able to play nice with one another? What happens if one AI's aims conflict with another's? Will they fight, or work together? Google's AI subsidiary DeepMind has been exploring this problem in a new study published today.