CIS 5590.004. Artificial General Intelligence

Scope and Boundary

1. Objectives

Different objectives suggest different paths and lead to different consequences.

Several visionaries had noticed the important similarities between the human brain/mind and the machine:

McCullough and Pitts: artificial neuron
Wiener: cybernetics
Shannon: information theory
Turing: intelligence as human-like behaviors
Von Neumann: The Computer and the Brain

AI as a research field started in 1956 at the Dartmouth meeting, and was strongly influenced by John McCarthy, Marvin Minsky, Allen Newell, Herbert A. Simon. The field has been dominated by theoretical heritages from computer science and mathematics, with a focus on (human) problem solving, e.g., "solve kinds of problems now reserved for humans". Issues:

Attempts to return to the ultimate aim:

2. NAL and NARS

Vision:

A General Theory of Intelligence (2009)
From NARS to a Thinking Machine (2006), The Roadmap of NARS (2019)

Characteristics of NAL:

Categorical language
Experience-grounded semantics
Syllogistic rules
Compositional rules
Temporal/procedural/backward inference

Characteristics of NARS:

Working environment
Concept-centered knowledge representation
Case-by-case problem solving
Dynamic resource allocation
Relative rationality

Current tasks:

Top layers of NAL (NLP, math, sensorimotor, self-control)
Testing, tuning, educating
Integration with other techniques (e.g., DL, LLM)
Applications

Reading

Non-Axiomatic Logic: A Model of Intelligent Reasoning, 2nd Edition, Chapter 14