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