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Off the Beaten Path: Non-Traditional Uses of AI #GDC #AISummit
And how the neural network

Last year’s "Off the Beaten Path: Non-Traditional Uses of AI" session was one of our most popular sessions of the 2012 AI Summit. This years should be just as compelling.

GDC Link: Off the Beaten Path: Non-Traditional Uses of AI

Format: 60-minute lecture

Speakers: Stéphane Bura, Ian Horswill, Leif Fogred, Jeff Orkin

In the game industry, AI is typically thought of as a collection of simple tools used to make characters “do things.” This lecture will show three different ways that people have leveraged more esoteric AI techniques in manners not traditionally seen in games. Jeff Orkin (MIT Media Lab) will show how he used data-capture of players from his project, The Restaurant Game, and how data-capture can be used to generate not only actions, but procedural dialog as well. Ian Horswill and Leif Fogred (Northwestern) will show how constraint-based procedural level design for roguelikes can  generate content yet still satisfy designers’ needs and desires. Lastly, Stéphane Bura (Storybricks) will discuss using AI techniques to contextually parse the player’s actions to give him or her more control over NPCs. All three sections promise to give attendees something new and different to ponder about how they approach their own projects.

Source: AIGPG News

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Stock market analysts on trial

2002-02-09 14:24:25 by on-trial

The amount of poor and self-interested advice that is being issued by brokerages and their analysts. To this day, the majority of stockbrokers are compensated on the number of trades their customers make, not on the returns they generate for them or on the quality of the advice they provide. We believe that the price targets and analyst ratings are made with several masters in mind, none of whom are the individual investor. In a similar fashion, sell-side stock analysts are generally compensated based upon the overall profitability of their firms, not the quality or accuracy of their analysis. In the end, analysts have minimal structural incentive to be accurate in their predictions; rather their built-in incentive is to be as favorable to their corporate clients as possible. It is a...

Gurus' Results Stay Consistently Bad  — Forbes
Investment gurus make their money selling market predictions, not following them. Their overall performance has been historically and consistently dismal. Why people pay for market predictions is a one of Wall Street's biggest mysteries.

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