I would appreciate recommendations for a preprint server to submit preprints in computational intelligence / computational cognitive science.

I know about the following preprint servers and would appreciate opinions about their relative merits for that topic area, and links to any other relevant preprint servers.

* https://www.techrxiv.org/

* https://www.preprints.org/

* https://arxiv.org/
- The available fine-grained categories in Computer Science *might* not cover my topics (depending on how strictly the categories are interpreted).
- The submission formats *might* be incompatible with my writing workflow.

* https://osf.io/preprints/discover
- OSF Preprints is a network of community-run OSF-hosted preprint servers. The only vaguely relevant community server is PssyArXiv, and it isn't clear that my topics of interest are on-scope for PsyArXiv.

* https://zenodo.org/
- Appears to have no constraints on format or topic (which is probably positive for me).
- Is not indexed by Google Scholar. (I have views about Google. However, not being indexed by Google means that preprints on Zenodo are effectively invisible to many researchers.)

#FediHelp #PrePrint #ScholarlyPublishing #AI #ArtificialIntelligence #CogSci #CognitiveScience #CompCogSci #ComputationalCognitiveScience #ComputationalIntelligence #MathematicalPsychology #MathPsych

The next VSAonline webinar is at 17:00 UTC (not the usual time), Monday 27 January.

Zoom: https://ltu-se.zoom.us/j/65564790287

WEB: https://bit.ly/vsaonline

Speaker: Anthony Thomas from UC Davis, USA

Title: ”Sketching a Picture of Vector Symbolic Architectures”

Abstract : Sketching algorithms are a broad area of research in theoretical computer science and numerical analysis that aim to distil data into a simple summary, called a "sketch," that retains some essential notion of structure while being much more efficient to store, query, and transmit.

Vector-symbolic architectures (VSAs) are an approach to computing on data represented using random vectors, and provide an elegant conceptual framework for realizing a wide variety of data structures and algorithms in a way that lends itself to implementation in highly-parallel and energy-efficient computer hardware.

Sketching algorithms and VSA have a substantial degree of consonance in their methods, motivations, and applications. In this tutorial style talk, I will discuss some of the connections between these two fields, focusing, in particular, on the connections between VSA and tensor-sketches, a family of sketching algorithms concerned with the setting in which the data being sketched can be decomposed into Kronecker (tensor) products between more primitive objects. This is exactly the situation of interest in VSA and the two fields have arrived at strikingly similar solutions to this problem.

#VectorSymbolicArchitectures #VSA #HyperdimensionalComputing #HDC #AI #ML #ComputationalCognitiveScience #CompCogSci #MathematicalPsychology #MathPsych #CognitiveScience #CogSci @cogsci

The schedule for the next VSAonline webinar series (January to June 2025) is published at:

https://sites.google.com/view/hdvsaonline/spring-2025

There are 11 talks around #VectorSymbolicArchitecture / #HyperdimensionalComputing

The talks are (almost always) recorded and published online, in case you can't participate in the live session.

@cogsci
#VSA #HDC #CompCogScii #MathPsych #AI #neuromorphic #neurosymbolic #ComputationalNeuroscience #ComputationalCognitiveScience #MathematicalPsychology

I was looking through the VSAonline website (https://sites.google.com/view/hdvsaonline/home) and saw that by the end of this year there will be 96 recorded webinars plus the recordings from the Midnight Sun 2023 workshop.

So, if you're interested in #VectorSymbolicArchitecture / #HyperdimensionalComputing or just #VSA / #HDC -curious, the VSAonline website is the place to go (or head over to https://www.hd-computing.com/home, where there's a wider range of resources, including publication lists).

#CognitiveScience #CogSci #ComputationalCognitiveScience #CompCogSci #AI #ArtificialIntelligence #ML #MachineLearning #neuromorphic #ComputationalNeuroscience

I would greatly appreciate any recommendations for #OpenAccess #ScholComm journals to publish some research:

Subject: Artificial Intelligence (very broadly interpreted)

Acceptance criteria: Peer reviewed

Publication model: Diamond/Platinum open access - free to read and free to publish

Licensing: Something unrestrictive, like CC-BY and author retains all rights

#AI #ArtificialIntelligence #CompCogSci #ComputationalCognitiveScience @cogsci @academicchatter

Help from older folk please: In the earlier days of artificial intelligence (GOFAI) - say, the 1980s - there was an aphorism to the effect that once you had found the right data representation for your problem you had pretty much solved your problem (i.e. choice of representation dominates choice of algorithm).

I would greatly appreciate (some approximation to) the actual text of the aphorism and, if possible, some citation to its origin.

Thanks!

#AI #ArtificialIntelligence #GOFAI #GoodOldFashionedAI #aphorisms #sayings #CogSci #CognitiveScience #CompCogSci #ComputationalCognitiveScience

Here are two high level articles that mention Vector Symbolic Architecure / HyperDimensional Computing in the more "popular" end of the technical press:

https://www.quantamagazine.org/a-new-approach-to-computation-reimagines-artificial-intelligence-20230413/

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10098176

#VSA #VectorSymbolicArchitecture #HDC #HyperdimensionalComputing #CompCogSci #ComputationalCognitiveScience #CogSci #CognitiveScience #MathPsych #MathematicalPsychology