2023/06/10 by Paul S. Rosenbloom, Rosenbloom, Paul S.
Computer Science · Neuroscience · Physics and Astronomy · Psychology · #Artificial Intelligence (cs.AI) #Artificial intelligence #Cognitive science #Computability, Logic, AI Algorithms #Computer science #Epistemology #FOS: Computer and information sciences #Generative grammar #Hierarchy #Human intelligence #Intelligence cycle #Machine Learning (cs.LG) #Military intelligence #Neuroethics, Human Enhancement, Biomedical Innovations #Perspective (graphical) #Philosophy #Political science #Property (philosophy) #Psychology #Sociology #Space (punctuation) #Space Science and Extraterrestrial Life
paper · pdf · doi:10.48550/arxiv.2306.06499
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2023/06/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.