AI Breakthrough!

Using Cognitive Science Solves the Information Processing Puzzle

How can computers solve the AI puzzle? The artificial intelligence (AI) industry has been working hard since 1956 to enable computers to emulate humans, with only limited success.

Goals like full speech interactions with people are unsolved. Driverless cars are unsolved. Interacting with AI agents or chatbots to accurately and correctly solve the wide variety of reasons people contact a company, in a selection of human languages, is unsolved. Even the proposed home robot, like Rosie from the 1960s cartoon, ‘The Jetsons,’ is missing from our lives!

This is the first article introducing a different way of thinking about AI that both

• explains what an animal and human brain is doing, and
• how that can be applied to vastly improve AI.

At its core, the trouble with the computational model when used as a metaphor for a brain is holding AI back. And like any ineffective model in science, we need to find a better model to help science progress.

Today’s article introduces an explanation for a way to solve AI now, using what we know in the cognitive sciences. The theoretical neuroscience of Patom theory will be applied to fill the gap between computers and brains.

The Empty Brain

The psychologist, Robert Epstein, published an article in Aeon in 2016 putting the case (link…