Start by developing systems that can represent the core frameworks of human knowledge: time, space, causality, basic knowledge of physical objects and their interactions, basic knowledge of humans and their interactions. Embed these in an architecture that can be freely extended to every kind of knowledge, keeping always in mind the central tenets

You can often find out whether something is inside your pocket by feeling the outside of the pocket. This is an example of how different types of knowledge may be combined. Here knowledge about how different objects (hands, pockets, wallets) interact with one another is combined with knowledge about how the senses work.

When System 2 is engaged, you have an awareness of thinking:

WordNet—a specialized online thesaurus that is often used in AI research—lists

Likewise, the mind deals with concepts in a number of different modes; partly by definitions, partly by typical features, partly by key examples.

we don’t want our AI systems to go around learning every related fact individually.

sentences are different from words.

In certain contexts the technique works well.

deep learning, is fabulous at