In previous articles, I've looked at a variety of video games that have proven useful test-beds for AI research, with the likes of Ms. Pac-Man, Super Mario Bros. and more recently StarCraft. But in this instance I want to look at a genre that is still relatively new whilst presenting exciting opportunities for AI research: Multiplayer Online Battle Arena's (MOBA). The MOBA genre is undoubtedly one of the most popular in gaming today, but what impact could this have upon AI research? I'm going to provide an overview of MOBA's as a genre, what aspects of their design can prove interesting to AI research and look at some projects that are now bearing fruit both in academia and in corporate research labs. Multiplayer Online Battle Arena's are an offshoot of Real-time Strategy (RTS) games, originating with the Aeon of Strife map for Blizzards StarCraft, followed by the'Defence of the Ancients' mod for WarCraft III: Reign of Chaos and its expansion The Frozen Throne.
Radhika previously worked in content marketing at three technology firms, and graduated from Sri Krishna College Of Engineering And Technology with a degree in Information Technology. According to the National Institute of Mental Health, the United States is currently battling a mental health epidemic. One in every five Americans struggles with mental illness in one form or another. According to the Center for Workplace Mental Health founded by the American Psychiatric Association, up to 7% of full-time workers in the U.S. suffer from major depressive disorder, the economic cost of which is estimated to be $210.5 billion per year. When compared to other developed nations, traditional healthcare in the U.S. is notoriously costly; mental healthcare, even more so.
"The great scientific breakthroughs in artificial intelligence are still ahead of us," Professor Patrick Winston predicted in his opening remarks to Rethinking Artificial Intelligence, a corporate briefing held at MIT on September 24-25. "Assuming that the science of AI is a 100-year enterprise that began in 1950, 2000 will be the halfway point," said Dr. Winston, the Ford Professor of Engineering in the Department of Electrical Engineering and Computer Science. "Molecular biology reached its halfway point when Watson and Crick discovered DNA. That discovery shifted everything -- it changed the world. About 300 senior technical management and corporate strategists from industries as diverse as aerospace and advertising attended the three-part seminar, which focused on how AI-based systems have evolved, where their impact is felt and what AI means for corporate strategy and revenue.
Blog posts can be strange and unpredictable things. There are times when I pour a ton of energy and creativity into a post only to have it largely ignored. Other times I quickly and haphazardly put something together and it ends up attracting thousands of hits. Such was the case with my recent post, Must-know terms for today's intelligentsia. Owing to all the interest, feedback and requests, I've decided to revise the list and provide greater detail and links. I apologize for not providing this in the first place. Before I get into the list, however, I'd like to clarify the purpose of this exercise. First, I am trying to come up with a list of the most fundamental and crucial terms that are coming to define and will soon re-define the human condition, and that subsequently should be known by anyone who thinks of themselves as an intellectual. I admit that there's an elitist and even pompous aspect to this exercise, but the fact of the matter is that the zeitgeist is quickly changing. It's not enough anymore to be able to quote Dostoevsky, Freud and Darwin. This said, while my list of terms is'required' knowledge, I am not suggesting that it is sufficient. My definition of an'intellectual' also requires explanation. To me an intellectual in this context is an expert generalist -- a polymath or jack-of-all-trades who sees and understands the Big Picture both past, present and future.
Is research and thinking on artificial intelligence stuck in a local minimum? Those in the field have attested to major advances in the last decade, but are these advances merely a renaming of approaches that were taken decades ago? This book does not address these questions as its major goal, but instead attempts to give a broad overview of how A.I. got started and where it is now, and where it might be going. The reader is lead to ask the questions above though after reading the book, for the author seems to ask them implicitly. Its validity as a science are questioned, and the future of A.I. is addressed in detail.