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If the thought of a robot apocalypse is keeping you up at night, you can relax. Scientists at Cambridge University are studying the potential problem. From the article: "A center for 'terminator studies,' where leading academics will study the threat that robots pose to humanity, is set to open at Cambridge University. Its purpose will be to study the four greatest threats to the human species - artificial intelligence, climate change, nuclear war and rogue biotechnology."

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I'm writing an introductory paper to the field of AI.

What are the major paradigms? What are the major methods?

I'm having a hard time finding a framework for which to approach these topics. It seems to me (a relative outsider) that there are many disparate groups of AI research that overlap while others don't come close at all.

Methods I have so far are neural networks, genetic algorithms, classical (symbolic) AI, expert systems.

Paradigms I would possibly consider are a top-down approach (modelling cognition) and a bottom up approach (genetic algorithms?).

In what way can I group or classify approaches to AI as to help make more sense of this mass? Thank you.

submitted by arohn
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