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Defining and Explorting the Intelligence Space

arXiv 2306.06499 ↗First posted 10 Jun 2023cs.AI cs.LGcited by 0

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Abstract (arXiv)

Intelligence is a difficult concept to define, despite many attempts at doing so. Rather than trying to settle on a single definition, this article introduces a broad perspective on what intelligence is, by laying out a cascade of definitions that induces both a nested hierarchy of three levels of intelligence and a wider-ranging space that is built around them and approximations to them. Within this intelligence space, regions are identified that correspond to both natural -- most particularly, human -- intelligence and artificial intelligence (AI), along with the crossover notion of humanlike intelligence. These definitions are then exploited in early explorations of four more advanced, and likely more controversial, topics: the singularity, generative AI, ethics, and intellectual property.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 70 references that are in the map. First posted on arXiv 10 Jun 2023.

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7 of 70 references.

References · 7

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  4. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  5. 2019Fine-Tuning Language Models from Human Preferencescited by 2,124
  6. 2018An Introduction to Deep Reinforcement Learningcited by 201
  7. 2021Relating transformers to models and neural representations of the hippocampal formationcited by 62

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