Today, Artificial Intelligence (AI) appears as a topic widely referred to for commercial purposes, while from a technical-scientific point of view, it remains of niche interest. Unfortunately, commercial purposes often lead to confusion in defining the functionalities of human-machine interfaces (HMIs), whereas such AI tools should have to efficiently imitate or replace human beings and body parts in specific cognitive tasks. Instead, AI is often defined too vaguely, that is, not from an anthropic point of view, and therefore, it remains quite distant from the human activities it tries to imitate. Today, AI is categorized among the cognitive sciences, i.e., those sciences that call upon computational neuro-biology (particularly neural networks), mathematical logic (as a part of mathematics and philosophy), and computer science.

NooJ for Artificial Intelligence: an Anthropic Approach

Mario Monteleone
2021-01-01

Abstract

Today, Artificial Intelligence (AI) appears as a topic widely referred to for commercial purposes, while from a technical-scientific point of view, it remains of niche interest. Unfortunately, commercial purposes often lead to confusion in defining the functionalities of human-machine interfaces (HMIs), whereas such AI tools should have to efficiently imitate or replace human beings and body parts in specific cognitive tasks. Instead, AI is often defined too vaguely, that is, not from an anthropic point of view, and therefore, it remains quite distant from the human activities it tries to imitate. Today, AI is categorized among the cognitive sciences, i.e., those sciences that call upon computational neuro-biology (particularly neural networks), mathematical logic (as a part of mathematics and philosophy), and computer science.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4760803
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