On Mon, Jun 11, 2018 at 2:39 PM, MP via AGI <[email protected]> wrote:
> It seems you’re taking a deep learning approach to the classic cognitive > architectures - like you’re reengineering ACT-R. > > What’s different? Why is this any better? > Deep learning's learning algorithm (back-prop / gradient descent) is way more efficient than classical logic-based learning (based on discrete combinatorial search inside a *humongous* lattice). Ben Goertzel first told me that some years ago 😝 ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T731509cdd81e3f5f-Mdf1b6da8d994f7e447d3e46a Delivery options: https://agi.topicbox.com/groups
