Re: [agi] Symbol Grounding

of some sort. In my way of seeing things, any architecture based solely on logical (deductive) grounds is doomed to fail. Sergio Navega. - Original Message - From: Mark Waser To: agi@v2.listbox.com Sent: Tuesday, June 12, 2007 9:33 AM Subject: Re: [agi] Symbol Grounding

Re: [agi] Symbol Grounding

in the generation of knowledge (knowledge discovery). There's a third kind of system (that I can think of few example implementations) that deal with symbols but that can generate knowledge by statistical processing, induction, analogical mapping of structures, categorization, etc. Sergio Navega

Re: [agi] Symbol Grounding

be seen as interestingly intelligent and useful and still be eons from human-like intelligence. A failure, if seen from traditional AI perspective, but an important step towards achieving it. Sergio Navega. Josh - This list is sponsored by AGIRI: http://www.agiri.org/email

Re: [agi] Fwd: Articles in this week's Science

behavior is not important. In neurons, it seems an important factor. But what is the influence of noise in these systems? What good does it do? We will only discover by postulating theoretical constructions capable of generating predictions and letting the evidences guillotine the bad models. Sergio

Re: [agi] Failure scenarios

premises aren't good. Not muchclues about what the right ones could be. However, in the current day, I would say that we can list some principles that any successful project must comply. Anyone want to start the list? Sergio Navega. - Original Message - From: Joshua Fox To

Re: [agi] Failure scenarios

From: Ben Goertzel [EMAIL PROTECTED] However, in the current day, I would say that we can list some principles that any successful project must comply. Anyone want to start the list? Sergio Navega. Sergio, While this is an interesting pursuit, I find it it much more difficult than

Re: [agi] Failure scenarios

knowledge acquisition, or spoon-fed knowledge bases as cyc, or inference algorithms, or logical reasoning. We will only be successful if we think about educating that system. Sergio Navega. - Original Message - From: J. Storrs Hall, PhD. [EMAIL PROTECTED] To: agi@v2.listbox.com Sent: Monday

Re: [agi] intuition [was: ... [was: ...]]

whole iceberg below this tip, and it is this iceberg that makes things happen. Sergio Navega. - Original Message - From: Jiri Jelinek To: agi@v2.listbox.com Sent: Tuesday, May 09, 2006 7:07 PM Subject: Re: [agi] intuition [was: ... [was: ...]] CharlesIntuition is a mech

Re: [agi] Qrio is dead

This is the epitome of the chicken and egg problem. Robotics researchers give up their projects because they don't know how to do cognition. Cognitive researchers give up their projects because they don't have a body to ground their knowledge. Paraphrasing, pfeehhh!! Sergio Navega

Re: [agi] Is computation a good concept for describing AI software?

plusits surrounding environment is well beyond any formal analysis we can make mathematically. Therefore, this system is well beyond any kind of formal criticism. Sergio Navega. - Original Message - From: Ben Goertzel To: agi@v2.listbox.com Sent: Friday, May 20, 2005 9:2