Knowledge Representation and Semantic Interoperability with IEML

This is the text of my keynote speech at the Knowledge Graph Conference, 8th of May 2024 If you want to watch the video : https://www.youtube.com/watch?v=TM-WB5kNv_A Today, the whole world is rushing toward statistical AI, Neural Models and/or Generative AI. But we know that, though these models are useful, we still need symbolic models or,Lire la suite « Knowledge Representation and Semantic Interoperability with IEML »

Towards Reasonable Agents

How can we graft symbolic encoding and decoding capabilities onto a neural model that can initially only recognize and generate sensory forms or aggregates of signifiers? This challenge is reminiscent of the process of hominization – when biological neural networks became capable of manipulating symbolic systems – which is not to my displeasure.

THE DIGITAL PUBLIC SPHERE

Let’s think about the­ new digital public sphere. I will begin by discussing the anthropological and demographic context of the public sphere shift into the digital environment. Then I will analyze the original forms of memory and communication supported by the new medium. I will then evoke the figures of domination and alienation specific toLire la suite « THE DIGITAL PUBLIC SPHERE »

Semantics, artificial intelligence and collective intelligence

How does language work? On the receiving end, we hear a sequence of sounds that we translate into a network of concepts. This is what we call « understanding the meaning » of a statement we hear. On the transmit side, we have in mind a network of concepts – a meaning to be conveyed – that we translate into a sequence of sounds.

IEML: Towards a Paradigm Shift in Artificial Intelligence

IEML has the expressive power of a natural language and the syntax of a regular language. Its semantics are unambiguous and computable because they are an explicit function of its syntax. A neuro-semantic architecture based on IEML combines the strengths of neural AI and classical symbolic AI while enabling integration of knowledge through an interoperable computing of semantics.