Perception Processing for General Intelligence: Bridging the Symbolic/Subsymbolic Gap

نویسنده

  • Ben Goertzel
چکیده

Bridging the gap between symbolic and subsymbolic representations is a – perhaps the – key obstacle along the path from the present state of AI achievement to human-level artificial general intelligence. One approach to bridging this gap is hybridization – for instance, incorporation of a subsymbolic system and a symbolic system into a integrative cognitive architecture. Here we present a detailed design for an implementation of this approach, via integrating a version of the DeSTIN deep learning system into OpenCog, an integrative cognitive architecture including rich symbolic capabilities. This is a ”tight” integration, in which the symbolic and subsymbolic aspects exert detailed real-time influence on each others’ operations. An earlier technical report has described in detail the revisions to DeSTIN needed to support this integration, which are mainly along the lines of making it more ”representationally transparent,” so that its internal states are easier for OpenCog to understand.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Perception Processing for General Intelligence, Part I: Representationally Transparent Deep Learning

Bridging the gap between symbolic and subsymbolic representations is a – perhaps the – key obstacle along the path from the present state of AI technology to human-level artificial general intelligence. The companion paper (Part II) describes a novel approach to achieiving this bridging via incorporation of a subsymbolic system and a symbolic system into a integrative cognitive architecture. Th...

متن کامل

Modifying the DeSTIN Perception Architecture to Enable Representationally Transparent Deep Learning

Bridging the gap between symbolic and subsymbolic representations is a – perhaps the – key obstacle along the path from the present state of AI technology to human-level artificial general intelligence. A companion paper to this one describes a novel approach to achieiving this bridging via incorporation of a subsymbolic system and a symbolic system into a integrative cognitive architecture. Th...

متن کامل

Towards Grounding Conceptual Spaces in Neural Representations

The highly influential framework of conceptual spaces provides a geometric way of representing knowledge. It aims at bridging the gap between symbolic and subsymbolic processing. Instances are represented by points in a high-dimensional space and concepts are represented by convex regions in this space. In this paper, we present our approach towards grounding the dimensions of a conceptual spac...

متن کامل

Integrating Deep Learning Based Perception with Probabilistic Logic via Frequent Pattern Mining

The bridging of the gap between 1) subsymbolic pattern recognition and learning algorithms and 2) symbolic reasoning algorithms, has been a major issue for AI since the early days of the field. One class of approaches involves integrating subsymbolic and symbolic systems, but this raises the question of how to effectively translate between the very different languages involved. In the approach ...

متن کامل

Perspectives of Neuro–Symbolic Integration

There is an obvious tension between symbolic and subsymbolic theories, because both show complementary strengths and weaknesses in corresponding applications and underlying methodologies. The resulting gap in the foundations and the applicability of these approaches is theoretically unsatisfactory and practically undesirable. We sketch a theory that bridges this gap between symbolic and subsymb...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012