Chapter
Designing the Best Framework for AGI
1:34:41 - 1:43:30 (08:49)
Researchers are taking everything they've learned from working with current AGI systems to design the best framework for the next stage, using a pattern matcher to search through labeled hypergraphs for sub hypergraphs that match an abstract pattern.
Clips
The speaker discusses incorporating lessons learned from deep neural nets and deep reinforcement systems into the development of openCOG 2.0, without completely dismissing their potential for AGI.
1:34:41 - 1:37:11 (02:30)
Summary
The speaker discusses incorporating lessons learned from deep neural nets and deep reinforcement systems into the development of openCOG 2.0, without completely dismissing their potential for AGI.
ChapterDesigning the Best Framework for AGI
Episode#103 – Ben Goertzel: Artificial General Intelligence
PodcastLex Fridman Podcast
In this podcast, the co-founders of the open-source platform, OpenCog, discuss the history and future of the project, including the upcoming release of OpenCog 2.0.
1:37:11 - 1:38:12 (01:00)
Summary
In this podcast, the co-founders of the open-source platform, OpenCog, discuss the history and future of the project, including the upcoming release of OpenCog 2.0.
ChapterDesigning the Best Framework for AGI
Episode#103 – Ben Goertzel: Artificial General Intelligence
PodcastLex Fridman Podcast
The ADAM space is a software platform that uses a weighted labeled hypergraph to search through the whole atom space with a pattern matcher in OpenCOG – an open source software project launched in 2008, which was first developed as a proprietary code base in 2001 or two at Novamente LLC.
1:38:12 - 1:43:30 (05:18)
Summary
The ADAM space is a software platform that uses a weighted labeled hypergraph to search through the whole atom space with a pattern matcher in OpenCOG – an open source software project launched in 2008, which was first developed as a proprietary code base in 2001 or two at Novamente LLC.