"AI: quest goes small-concept"
The Defense Advanced Research Projects Agency in recent years has poured hundreds of millions into every aspect of big artificial intelligence-expert systems, neural networks, genetic algorithms, evolutionary programming, fractal geometry, chaos theory, cellular automata, artificial life. And that just scratches the surface on the software side; legions of cognitive hardware architectures have also been beneficiaries of Darpa largesse. But thus far the far-flung investment has yielded little tangible return in solving the big-AI problem-getting machines to think like humans, learning from experience and applying logic and common sense to solve real-world problems. Given laymen's expectations of robots as fully cognitively functional assistants, that lack of quantitative progress has been a thorn in the agency's side.
Audio Interview / Interview on CD