Thought as Word Dynamics Paul J. Jorion, Université Catholique de Lille paul.jorion@univ-catholille.fr The following is a manuscript written in the year 2000 meant to become a volume 2 of my French book Principes des systèmes intelligents published in 1989 by Masson in Paris. The model presented here has been built...
At Pribor.io we decided back in June of last year to capitalise on work I've done in AI back in the late eighties as part of British Telecom's Connex Project. At that time I developed ANELLA, an Associative Network with Emergent Logical and Learning Abilities. As I state in the...
Thought as Word Dynamics
Paul J. Jorion, Université Catholique de Lille
paul.jorion@univ-catholille.fr
The following is a manuscript written in the year 2000 meant to become a volume 2 of my French book Principes des systèmes intelligents published in 1989 by Masson in Paris.
The model presented here has been built over a number of years from several angles. It is truly multi-disciplinary in its concept as the evidence which has been gathered to support its plausibility has five main components: (i) mathematical objects that have been explored by the author in another context as part of his anthropological research on modelling kinship networks and so-called "primitive mentality" types of reasoning, (ii) intensive and extensive logic, (iii)... (read 27969 more words →)
Let me formulate a hypothesis: what is discovered there at the centre of the system is reminiscent of what must have been the most central part of the unconscious AND/OR the preoccupations of the animal Homo before the emergence of language: the orifices of the human body and the means of filling them.
I myself had put the word 'mama' at the centre of ANELLA, (Associative Network with Emergent Logical and Learning Abilities) following a suggestion by Roman Jakobson as to the likely first words of any language: "Why 'Mama' and 'Papa'?" (1971), but on reflection, 'hole' is also a good candidate.
At Pribor.io we decided back in June of last year to capitalise on work I've done in AI back in the late eighties as part of British Telecom's Connex Project. At that time I developed ANELLA, an Associative Network with Emergent Logical and Learning Abilities. As I state in the post's title here, although LLMs were unknown at the time, seen in retrospect, ANELLA was providing a "bottom-up" approach to AI as a more transparent alternative to "top-down" LLMs, also more economical by several orders of magnitude than LLMs. ANELLA was however very much in the same spirit as LLMs of letting the self-organisation that lies in a language's lexicon to bubble... (read more)