1. What Is Artificial General Intelligence?
Clarifying The Goal For Engineering & Evaluation
Mark R. Waser

2. Wang’s 5 Definitions of AI
Structure – neurons working in parallel (based on brain architecture)
Behavior – acts like a human being (based on human psychology/Turing test)
Capability – has the ability to solve problems (narrow AI)
Function – has cognitive functions similar to that of humans (searching, reasoning, planning, etc.)
Principle – operates according to a simple fundamental rational or optimal principle

3. Wang’s 5 Definitions (revised)
Architectures
Structure – brain architecture
Function – architecture of the mind
Principle – single rational problem solving theory/architecture
Emergent Properties
Capability – what it can do
Behavior – what it actually does do

4. Principle
Capability
Function
Behavior
Structure

5. CoSy AIXI NARS Novamente chatbots LIDA Narrow AI Cyc Soar SAL ACT-R
Hawkins/Blue Brain
Neural Networks

6. What do WE WANT? What is OUR GOAL in CREATING AGI?
What it IS (architecture)
What it CAN do (capability)
What it DOES do (behavior)
What do WE WANT?
CAPABILITY and BEHAVIOR
What is OUR GOAL in CREATING AGI?

7. Intelligence = problem solving & goal achieving
Solve all of humanity’s problems
OR Is humanity one of the problems to be solved?

8. FRIEND
SLAVE?
TOOL
ENTITY
What is the difference between
an intelligent tool and an entity?
ENEMY

9. cooperate To CREATE an ENTITY with the ability and desire to
What is OUR GOAL in CREATING AGI?
To CREATE an ENTITY
with the ability and desire to
cooperate
to solve problems, achieve goals
and improve life for everyone

10. Intelligence Cooperation/Ethics Planning/Problem-Solving
Language/Representation
Cooperation/Ethics
Rawls/Hauser
Chomsky/Pinker

11. How do we get there?
Autogeny
AKA “Seed AI”
(Oblinger 2008)

12. Rationally Anticipated Emergent PropertiesOR
Wishful Thinking/Cargo Cult Engineering

13. STAY AS CLOSE TO EXISTING EXAMPLES AS POSSIBLE

14. Cognitive Cycle (Franklin 2007) Encode Perceptual Learning
Procedural Learning
(Franklin 2007)

15. Sloman’s architecture for a human-like agent (Sloman 1999)

16. Baar’s Global Workspace Theory
Most of cognition is implemented by a multitude of small, local, special purpose processes, that are almost always unconscious
Coalitions of these processes compete, whenever necessary, for conscious attention (access to a limited capacity global workspace)
Attention then serves as an INTEGRATION POINT that allows us to deal with novel or challenging situations that cannot be dealt with efficiently, or at all by local, routine, unconscious processes
(Also Perlis 2008)

17. Civilization advances by extending the number of important operations which we can perform without thinking about them.
-- Alfred North Whitehead

18. SUMMARY ETHICAL AUTOGENOUS ATTENTIONAL
EA3GI – The fastest, safest road to artificial general intelligence