Why AI researchers and interested parties should read Leibniz’s Monadology
Leibniz’s concepts of monads and AI are related in that both deal with the idea of representation and how different entities can be understood in terms of their internal states and relationships.
In Leibniz’s philosophy, monads are the basic building blocks of reality, and they represent individual substances that have an internal perception of the world and can interact with other monads. Monads are considered windowless, meaning they have no direct access to the world outside themselves, but they can still have a clear and distinct representation of that world through their perceptions.
In artificial intelligence, the idea of representation is also central to the development of intelligent systems. AI algorithms encode information about the world into mathematical structures that can be manipulated and processed to make decisions, learn from data, and draw conclusions about the world.
Leibniz’s monads and AI are different concepts. Still, both are concerned with how entities can develop an understanding of the world and interact with other entities through representations of that world.
Murat
Author of the books “MINDFUL AI — Reflections on Artificial Intelligence” and “A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)”
