Defining and Explorting the Intelligence Space

Autor:	Rosenbloom, Paul S.
Rok vydání:	2023
Předmět:	Computer Science - Artificial Intelligence Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: May ultimately appear as a journal article and/or a book chapter
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2306.06499 Zobrazit plný text záznamu View this record from Arxiv