Artificial General Intelligence

Toward a Science of Intelligence

1. Scope and objective

Common usage: normal humans are "intelligent", while the other things are not (so much)

Intelligence is a matter of degree, but there is still a boundary to draw. Too wide or too narrow are both bad.

Forms of intelligence: human, artificial, animal, collective, alien

What are there in common? What is missing in ordinary computers?

Adaptivity, flexibility, originality, robustness, ...

What is unintelligent? Not incapable, but fixed response.

The information system framework, and types of information system

2. Innate vs. acquired capabilities

How to separate the two types of capabilities in design: neither too much nor too little

Learning and adaptation as a self-organizing process

The self-organization of goals, actions, beliefs, and concepts

The limitation of mainstream AI, including "machine learning": to specify a problem as computation, and a solution as an algorithm

3. Scientific theories

Science as common knowledge

Levels of description

Good theory: correct, concrete, compact

Major problems in the fields:


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