[Fis] Workshop– NeurIPS 2024

[Marcus Abundis]

Greetings all,

A quick note to let those interested know that I had a paper accepted for
presentation at an AI workshop (Open World Agents) at NeurIPS 2024. Of
course, this is not the same as being accepted to The Conference itself –
but it is still perhaps of interest to FIS as it continues/expands the
'theory of meaning' track I presented at IS4SI 2021.

I am still waiting on notification to a second NeurIPS workshop I applied
to (Foundation Models for Science).

The link for a PDF of this paper is:
https://urldefense.com/v3/__https://drive.google.com/file/d/11r5LHrzAV2wAPXAPbEMxO58GuTR48hdP/view?usp=share_link__;!!D9dNQwwGXtA!WkXPs2hbNzmydvfNrJcocyBp67ilfgFmOQGP0Y9yko8YO7HSpevpk5BQj1m39_jTcaPpUX0ngRlOfmeZ$ 

The ABSTRACT:
This paper explores a key issue in information theory seen by Claude
Shannon and Warren Weaver as a missing “theory of meaning”. It names
structural fundaments to cover the matter. Varied informatic roles are
first noted as likely elements for a general theory of meaning. It next
deconstructs Shannon Signal Entropy in a priori terms to mark the signal
literacy (contiguous logarithmic Subject Object primitives) innate to
‘scientific’ notions of information. It therein initiates general
intelligence ‘first principles’ alongside a dualist-triune (2-3) pattern.
This study thus tops today’s vague sense of meaningful ‘agent intelligence’
in artificial intelligence, framed herein via an Entropic/informatic
continuum of serially varied ‘functional degrees of freedom’; all as a
mildly-modified view of Signal Entropy.


[image: --]
Marcus Abundis
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