Path: utzoo!mnetor!uunet!husc6!mailrus!tut.cis.ohio-state.edu!bloom-beacon!mit-eddie!uw-beaver!cornell!rochester!PT.CS.CMU.EDU!SPEECH2.CS.CMU.EDU!yamauchi From: yamauchi@SPEECH2.CS.CMU.EDU (Brian Yamauchi) Newsgroups: sci.psychology Subject: (Artificially) Intelligent (Simulated) Parrots Message-ID: <1297@PT.CS.CMU.EDU> Date: 4 Apr 88 06:33:40 GMT References: <910@udccvax1.acs.udel.EDU> <4416@blia.BLI.COM> Sender: netnews@PT.CS.CMU.EDU Organization: Carnegie-Mellon University, CS/RI Lines: 22 In article <4416@blia.BLI.COM>, heather@blia.BLI.COM (Heather Mackinnon) writes: > From what I understood, the parrot would indicate whether two objects were > the same or different shape and color. Children learn to do this exercise > by repetition and reinforcement. > > Heather Mackinnon I am curious whether you would also consider an AI which performed this task to be intelligent. If not a hardwired computer vision system, how about a connectionist network which learned this task through "repetition and reinforcement"? The question is not intended to be rhetorical. The definitions of "intelligence" are quite fuzzy, and seem to be at least as strongly oriented against AI systems as against animals. ______________________________________________________________________________ Brian Yamauchi INTERNET: yamauchi@speech2.cs.cmu.edu Carnegie-Mellon University Computer Science Department ______________________________________________________________________________