Algorithms for Online Gambling Watching Poachers

Published Wednesday, October 26, 2016 - Online-Casinos.com
Algorithms for Online Gambling Watching Poachers

The use of artificial intelligence in the online gambling industry is a given. The science behind gambling in general has been a mystery since games were invented after all chance is part of the idea of betting. Now however the concept of predictability has taken on a new light in other words technology is on to solving the problems of prediction.

Probability is something random access generators of numbers for lotteries and slot machines makes  difficult to assess. Games of skill such as chess do have algorithms that are somewhat predictable. Schools such as The MIT Strategic Games Society a club devoted to playing games of all types, including board games, card games, role-playing games, and the occasional war game are working on the numbers. These young people are developing artificial intelligence algorithms that are changing the world of not only in the casino but in other endeavours.

An interesting result from the research today involving online gambling algorithms and artificial intelligence is the US-funded initiative to predict the movement of poachers in Africa‚Äôs nature reserves. The system, known as PAWS, is being tested in Uganda's Queen Elizabeth National Park. Park Rangers can obtain information from computer models which predict the poacher' next moves. The software is based on gaming theory algorithms developed at the University of Southern California.

"We're trying to predict future poacher attacks or where poachers may strike next based on what we have observed in the past on our patrols," Professor Milind Tambe is leading the initiative, he said to Reuters. "We want to deliver the software so the local rangers can use it with minimum training." Researchers trained the system using data collected by rangers over the past 18 years. It is proving successful in one month, the team managed to locate 10 antelope traps and elephant snares.

 

 

 

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