PC AI sucks at Civilization, reads manual, starts kicking ass The Massachusetts institute of technology have been experimenting with their computers' AI. Specifically the way they deal with the meaning of words. You might think that the best way to analyse this kind of thing would be with a human to PC conversation, like in Short Circuit. That's not the case. Instead, the boffins handed over PC classic, Civilization, and let the AI get on with it. Then the researchers handed over the instructions and taught the PCs a "machine-learning system so it could use a player's manual to guide the development of a game-playing strategy." Associate professor of computer science and electrical engineering, Regina Barzilay, offered insight into why they used a game manual to prove their point. Civ was picked because it's a really fun game, and they didn't want the computers to get bored during the testing. Not really. These kind of systems could make developer's jobs a lot easier. What's the best AI you've ever played against? (via Reddit)
Tiny Satellite To Scrawl Morse Code Messages Across the Night Sky Programming Poker AI This article was originally published in the “Inner Product” column in Game Developer Magazine, November 2005 I recently programmed the AI for the World Series of Poker, developed by Left Field Productions and published by Activision. I started out thinking it would be an easy task. But it proved a lot more complex than I initially thought. This article for the budding poker AI programmer provides a foundation for a simple implementation of No-Limit Texas Holdem Poker AI, covering the basics of hand strength evaluation and betting. The goal of any game playing AI is twofold. You will need an implementation of the following data types. A "suit" is an integer in the range 0..3, where 0=Clubs, 1=Diamonds, 2=Hearts, 3=Spades A "rank" is an integer in the range 0..12, where 0 = 2 (deuce), 1 = 3, 11 = King, 12 = Ace. A "card" is an integer in the range 0..51, hence card = suit*13 + rank. A "Hand" is a 52 bit data type, where each bit represents a single card. The solution is automated testing.
dimple Why the Big Bang is Wrong undefined John Kierein The Big Bang theory of the universe is wrong because the cosmological red shift is due to the Compton effect rather than the Doppler effect. See The Endless, Boundless, Stable Universe by Grote Reber and Hubble's Constant in Terms of the Compton Effect by John Kierein. The latter describes how the Compton effect cosmological red shift accelerates with increasing distance. Reber showed that the Compton effect was the cause of the red shift in order to explain the observations of bright, very long wavelength, extragalactic radio waves. Quasars may be much closer than their red shift would indicate if they have an "intrinsic" red shift due to being surrounded by a 'fuzzy' atmosphere containing free electrons and other material. Some such quasars may be double stars, with one member being an ordinary star and the other exhibiting a large red shift and being labeled as a quasar. The red shift on the sun is obviously not Doppler since the sun is not moving away from us.
The Coming Technological Singularity ==================================================================== The Coming Technological Singularity: How to Survive in the Post-Human Era Vernor Vinge Department of Mathematical Sciences San Diego State University (c) 1993 by Vernor Vinge (Verbatim copying/translation and distribution of this entire article is permitted in any medium, provided this notice is preserved.) This article was for the VISION-21 Symposium sponsored by NASA Lewis Research Center and the Ohio Aerospace Institute, March 30-31, 1993. It is also retrievable from the NASA technical reports server as part of NASA CP-10129. A slightly changed version appeared in the Winter 1993 issue of _Whole Earth Review_.
How We Predict Each Other's Choices Humans may not be mind readers, but our brains are able to predict other people's decisions pretty well. New research on this phenomenon shows that two spots in the brain weigh the risk and reward of the choice someone else is making. "Perhaps we may one day better understand how and why humans have the ability to predict others' behavior, even those with different characteristics," Hiroyuki Nakahara, of the RIKEN Brain Science Institute, in Japan, said in a statement. "Ultimately, this knowledge could help improve political, educational and social systems in human societies." To study this, 39 participants watched another person play a game (on a computer screen) and predicted what choices that person would make based on the person's prior moves. Meanwhile, the researchers scanned the players' brains using functional magnetic resonance imaging (fMRI), a technique that can detect brain activity. The study is detailed in tomorrow's (June 21) issue of the journal Neuron.
Face Detection Homepage: Face finding and recognition Big Data, How to Detect Relationships Between Categorical Variables The goal of the techniques described in this topic is to detect relationships or associations between specific values of categorical variables in large data sets. This is a common task in many data mining projects as well as in the data mining subcategory text mining. These powerful exploratory techniques have a wide range of applications in many areas of business practice and also research - from the analysis of consumer preferences or human resource management, to the history of language. These techniques enable analysts and researchers to uncover hidden patterns in large data sets, such as "customers who order product A often also order product B or C" or "employees who said positive things about initiative X also frequently complain about issue Y but are happy with issue Z." How association rules work. Sequence Analysis. Link Analysis. Unique data analysis requirements. Computational Procedures and Terminology Categorical or class variables. Multiple response variables.
The Complexity and Artificial Life Research Concept for Self-Organizing Systems Turing Test [<< | Prev | Index | Next | >>] Turing Test Human: Hello Computer: Hi. Human: What's your name? Computer: Can we cut the small talk and get to something interesting? Human: Ur, ok... [<< | Prev | Index | Next | >>]