Ben Goertzel On Aspects of Artificial General Intelligence

Wednesday, September 11, 2013


 Artificial Intelligence
Researcher and transhumanist Ben Goertzel recently sat down with Adam Ford at the AGI 13 Conference in Beijing, discussing various factors required to develop artificial general intelligence.




Leading artificial intelligence researcher and transhumanist Ben Goertzel recently sat down with Adam Ford at the AGI 13 Conference in Beijing.

The first AGI Conference held in Asia, AGI-13 gathered an international group of leading academic and industry researchers involved in scientific and engineering work aimed directly toward the goal of Artificial General Intelligence (AGI). The AGI conference series has played, and continues to play, a significant role in this resurgence of research on artificial intelligence in the deeper, original sense of the term of “artificial intelligence”. The conferences encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches.

During the conversation, Goertzel discusses how probability theory is a key tool in building advanced, rational AGI systems. He suggests that the approach is very appropriate for Big Data issues.

Moving far away from so-called 'brain-in-a-box' systems, Goertzel talks about how mind-body integration is key to human-like intelligence.  Embodiment is also a direction for many other AI development programs now, including Humboldt University's MYON robot program and the iCub program.

OpenCog


Goertzel uses a systems theory of mind, reflecting the integration of mind, body and society to direct work on deep learning algorithms as a particular reflection of the system-theoretic principle of hierarchical pattern composition.  Deep learning is a field developed by Geoff Hinton, who is now a chief researcher for Google in the area of machine learning.  

Related articles
Continuing his longstanding work on the OpenCog system, Goertzel suggests that the architecture it uses is as an exemplification of systems based AI approach.

Goertzel explains how OpenCog is evolving to incorporate various sub-systems that balance each other to end up with a more human-like intelligence.  "The reason why an integrative system makes sense - the hierarchical nature of the world that humans operate in. Many patterns we see in the world have some kind of hierarchy, patterns scaffold on patterns, patterns in patterns." 

Along with developing his theory into the development of OpenCog, Goertzel is also working on a book, Building Better Minds.



SOURCE  Adam Ford, Image - OpenCog

By 33rd SquareSubscribe to 33rd Square