Building Grounded Abstractions for Artificial Intelligence Programming
Most Artificial Intelligence (AI) work can be characterized as either ``high-level'' (e.g., logical, symbolic) or ``low-level'' (e.g., connectionist networks, behavior-based robotics). Each approach suffers from particular drawbacks. High-level AI uses abstractions that often hav...
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| Language: | en_US |
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2005
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| Online Access: | http://hdl.handle.net/1721.1/30479 |