Generality in artificial intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Reconciling deep learning with symbolic artificial intelligence: representing objects and relations (2019, background): “In a system based on formal logic, for example, the elementary parts are symbols standing for objects and relations, which combine to form propositions, which can be further combined using logical connectives such as ‘AND’ and ‘OR’ [18].”
Towards Deep Symbolic Reinforcement Learning (2016, background): “Thanks to their compositional structure, such representations are amenable to endless extension and recombination, an essential feature for the acquisition and deployment of high-level abstract concepts, which are key to general intelligence (McCarthy, 1987).”
Model-free, Model-based, and General Intelligence (2018, background): “McCarthy discussed related issues in his 1971 ACM Turing lecture entitled “Generality in Artificial Intelligence”, published in revised form many years later [McCarthy, 1987].”
The Measure of Intelligence (2019, unknown): “Contrast Minsky’s task-focused definition of AI with the following one, paraphrased from McCarthy [60] by Hernández-Orallo: “AI is the science and engineering of making machines do tasks they have never seen and have not been prepared for beforehand” [36].”