Re: [agi] hello

On 8/13/08, rick the ponderer <[EMAIL PROTECTED]> wrote: > > Reading this, I get the view of ai as basically neural networks, where each individual perceptron could be any of a number of algorithms (decision tree, random forest, svm etc). > I also get the view that academics such as Hinton are tryi

Re: [agi] hello

On 8/13/08, YKY (Yan King Yin) <[EMAIL PROTECTED]> wrote: > > > On 8/13/08, rick the ponderer <[EMAIL PROTECTED]> wrote: > > > > Reading this, I get the view of ai as basically neural networks, where > each individual perceptron could be any of a number of algorithms > (decision tree, random forest

Re: [agi] hello

On 8/13/08, rick the ponderer <[EMAIL PROTECTED]> wrote: > Thanks for replying YKY > Is the logic learning you are talking about inductive logic programming. If so, isn't ilp basically a search through the space of logic programs (i may be way off the mark here!), wouldn't it be too large of a sear

Re: [agi] hello

On Wed, Aug 13, 2008 at 4:14 AM, rick the ponderer <[EMAIL PROTECTED]> wrote: > > Thanks for replying YKY > Is the logic learning you are talking about inductive logic programming. If > so, isn't ilp basically a search through the space of logic programs (i may > be way off the mark here!), wouldn'

Re: [agi] hello

On 8/13/08, Jim Bromer <[EMAIL PROTECTED]> wrote: > > On Wed, Aug 13, 2008 at 4:14 AM, rick the ponderer <[EMAIL PROTECTED]> > wrote: > > > > Thanks for replying YKY > > Is the logic learning you are talking about inductive logic programming. > If > > so, isn't ilp basically a search through the sp

Re: [agi] hello

On 8/15/08, rick the ponderer <[EMAIL PROTECTED]> wrote: > > > > On 8/13/08, Jim Bromer <[EMAIL PROTECTED]> wrote: >> >> On Wed, Aug 13, 2008 at 4:14 AM, rick the ponderer <[EMAIL PROTECTED]> >> wrote: >> > >> > Thanks for replying YKY >> > Is the logic learning you are talking about inductive logi

Re: [agi] hello

On Wed, Aug 13, 2008 at 6:31 PM, YKY (Yan King Yin) <[EMAIL PROTECTED]> wrote: > To use Thorton's example, he demontrated that a "checkerboard" pattern can > be learned using logic easily, but it will drive a NN learner crazy. Note that neural networks are a broad subject and don't only include pe

Re: [agi] Hello from Kevin Copple

From: "Kevin Copple" <[EMAIL PROTECTED]> > It seems to me that rout memorization is an aspect of human learning, so why > not include a variety of jokes, poems, trivia, images, and so on as part of > an AI knowledge base? In the EllaZ system we refer to these chunks of data > as Convuns (convers

RE: [agi] Hello from Kevin Copple

Hi Kevin, I know something about the Loebner prize from following the AI career of Jason Hutchens, whose chatbot won the contest in the late 90's, and who I knew slightly when I was living in Perth (Western Australia) in the mid-90's Your approach, on the surface, seems fairly similar to Jas

RE: [agi] Hello from Kevin Copple

Ben you said:

RE: [agi] Hello from Kevin Copple

Gary Miller wrote: > I also agree that the AGI approach of modeling and creating a self > learning system is a valid bottom up approach to AGI. But it is much > harder for me with my limited mathematical and conceptual knowledge of > the research to grasp how and when these systems will be able j