That comes from all of the tough, horrible things he’s been through. He has this incredibly calm energy: never yelling, never violent, only calm and soft spoken. I like the energy that I can pick up from them because I think they’ve overcome obstacles that I’ve never had to deal with. People who have had really horrible experiences and have surmounted them is something that I have tremendous respect for. This is reality and what people are really like. The lack of honesty in our culture that can be found in this book is like a splash of cold water on your face. Though I had many great bosses, probably five to 10 percent of them were grand manipulators who made me and others suffer greatly. That wasn’t my experience in the work world. When you see self help books, they usually emphasize the goodness of human nature and how people should be cooperative, not manipulative, etc. When it comes to a subject like power or work world or offices, we don’t like to talk about the truth. “This book kind of feeds into the dark side of human nature, which is quite repressed in our culture.
You’re giving yourself a continual handicap.” If you’re not adept at the social aspect of the work world, it’s like you’re putting yourself behind the eight-ball. Naive people don’t understand the power they have, how they might inadvertently make people feel insecure, and so on. “You think that your talent, your goodness, your kindness, your hard work is enough in this world - but it isn’t. Moving forward, as part of research into artificial intelligence and human-machine teaming, ARL will apply methods such as the 20 Questions paradigm to Soldier-robot teaming.You’ve got to play the game. The researchers have shown that their querying will achieve the minimum mean-square error between their best guess and the unknown true value of x. "We call this the noisy 20 questions game."ĪRL and University of Michigan researchers developed a method to automatically formulate a sequence of questions to narrow down the error and provide an answer to the question, "what is the value of x". "Unlike the actual 20 Questions game, we admit the possibility that a question might be answered in error," he said. The sequence of questions is designed so that the player can rapidly figure out the answer: "Is it bigger than a breadbox," "is it alive," and so on however, in the Army problem, it is possible that the question may be answered in error. The 20 questions game is a classic pastime, where players can only ask questions whose response is yes or no, while attempting to identify an object. He explained that it is important to minimize the number of queries, while maximizing the value of each one, so as not to waste the human's time or endanger a soldier who has duties to perform in a dangerous environment.
"Humans are particularly good at accurately answering yes/no questions," he said. Sadler said it is a signifcant challenge to find ways for a machine to query a human that efficiently takes advantage of the human's expertise. Such computer algorithms do not yet exist, and the scientific theory for building such algorithms is not yet developed."
It requires the AI system to understand a whole sequence of questions and answers, and to handle every question or answer with consideration of what has been asked or answered before. A real, purposeful conversation, especially in complicated military environments, is different. "They can even win a game like Jeopardy, focusing on only one question at the time. "It is well known that artificial intelligence systems, such as those found nowadays on every smartphone, can answer at least some questions," Sadler said. The work is part of a larger study to develop methods for machines and humans to interact. Hero to conduct the study, which appears in the February 2018 issue of the IEEE Transactions on Information Theory. Brian Sadler teamed with University of Michigan researchers Hye Won Chung, Lizhong Zheng, and Professor Alfred O. In this way, scientists say, their research findings could lead to new techniques for machines to ask other machines questions, or for machines and humans to query each other.ĪRL senior scientist Dr.
UNDERSTAND GAME SERIES
In the game, a player wishes to estimate an unknown value on a sliding scale by asking a series of questions whose answer is binary (yes or no).
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