On 25/06/07, Robert Wensman <[EMAIL PROTECTED]> wrote:
To put it bluntly: Isn't the concept of reinforcement learning (as typically described) exactly the kind of simplistic AI models that AGI tries to distance itself from?
It can be. The sorts of problem which I've seen RL applied to were of a fairly trivial nature, such as obstacle avoidance. It seems that situations where the internal architecture of the system has a homogeneous structure usually don't scale well and this is often the case in RL examples. However I wouldn't throw RL out as a useful paradigm. If you have a look at Edelman's Darwin automata these are basically machines working on a RL principle, but their internal architecture has a degree of complexity more reminiscent of biological systems.. ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=231415&user_secret=e9e40a7e
