Table of Contents

DCS-T-720-ATAI-2020 Main

T-720-ATAI-2020 Readings & Study Material

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Readings README (Do not skip!)


INTELLIGENCE: THE PHENOMENON


The Human Animal [ 9,10 ]

What is intelligence?
How do experts talk about it?
What has been uncovered?
What uniquely separates the phenomenon of intelligence from other similar phenomena in the world?

Other Kinds of Animals

Are animals other than humans also intelligent?
Note: You are encouraged to find other material on this topic (please let instructor know if you find interesting things).

Requirements for General Autonomous Intelligence [ 4,5 ]

When engineers make an artifact, like a bridge or a space rocket, they start by listing the artifact's requirements. This way, for any proposed implementation, they can check their progress by comparing the performance of a prototype to these. The below papers consider what are necessary and sufficient requirements for a machine with real intelligence. (Therefore, these in fact speak to defining what 'intelligent systems' really means.)


AI: THE RESEARCH FIELD


Artificial intelligence (AI) started as a research field. It still is. Just like research results in physics are useful for engineering, results in AI are useful for industry. AI is still in formation, much like computer science. It is a knowledge-generating enterprise funded by the public through universities and competitive research grants. Applications of AI are funded by companies and through various other means (including competitive grants for applied research). The knowledge generated in AI research is in part determined by the nature of the enterprise - how it's organized, who are the influencers, what are low-hanging fruit, etc.


Part I: The Basics

Part II: General Machine Intelligence




WORLDS, TASKS & ENVIRONMENTS


Worlds

Causation & Causal Relations

Evaluation: Approaches, Tools, Techniques [ 3,5 ]




LEARNING


Learning

Self-Programming, Bootstrapping / Seed A(G)I / Seed Programming [ 2,4 ]

Artificial Pedagogy [ 2,4 ]




METHODOLOGY


A(G)I Theories [ 2,3 ]

Part I: GOFAI Approaches

Part II: GMI Methodology [ 5,8 ]





CONTROL & SYSTEMS


Control & Systems [ 4,6 ]

Models

Generality

Autonomy [ 3,3 ]

Resource Management: Attention, Self-Control, Integrated Cognitive Control [ 3,5 ]




UNDERSTANDING & KNOWLEDGE REPRESENTATION


Symbols & Meaning [3,5]

Semantic & Operational Closure [ 1,2 ]

About Understanding

Reasoning [ 4,5 ]

Situatedness, Embodiment




IMPLEMENTED AGI-ASPIRING SYSTEMS


NARS [ 4,5 ]

AERA [ 3,5 ]

Sigma [ 0,1 ]

Open Cog [ 0,2 ]

Other Such Systems [ 0,3 ]





FOUNDATIONAL TOPICS


Prerequisites

Self-Organization & Emergence [1,2]

(Phenomenal) Consciousness [0,2]





Societal Impact & Ethics [0,2]




Additional Readings & Study Material

Reinforcement Learning [ 0,2 ]

Deep Learning [ 0,1 ]

Other [ 0,3 ]


Other Sources

Reinforcement Learning





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