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

Thanks @hosford42 for reminding me of this half-day tutorial on Vector Symbolic Architectures / Hyperdimensional Computing. The authors have been applying HDC/VSA to place recognition in robotics, but the tutorial coverage is much wider.

https://www.tu-chemnitz.de/etit/proaut/workshops_tutorials/hdc_ki19/index.html

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

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

@dae

Readers of "How is perception tractable?" (https://philpapers.org/archive/BROHIP-2.pdf) might also be interested in "High-level perception, representation, and analogy: A critique of artificial intelligence methodology" (https://www.tandfonline.com/doi/abs/10.1080/09528139208953747), which doesn't touch on computational tractability but does argue that perception is necessarily *not* encapsulated from cognition.

#CogSci #CompCogSci #CognitiveScience #ComputationalCognitiveScience #cognition #analogy @cogsci

@melaniemitchell @cogsci

Boosting with hashtags for my followers. See the original post in the thread above.

International SFI summer school on Intelligence and Representation

For PhD students, in Cambridge, UK, August 13-25, 2023. Tuition is free! Apply by March 1, 2023.

https://santafe.edu/engage/learn/programs/complexity-gains-international-summer-school

#CogSci #CognitiveScience #cognition #CompCogSci #ComputationalCognitiveScience

@DrYohanJohn
@cogsci

Boosting for my followers - see original post in the thread above.

The BBS target article on the Language of Thought Hypothesis states:

"We outline six core properties of
LoTs: (i) discrete constituents; (ii) role-filler independence; (iii) predicate-argument
structure; (iv) logical operators; (v) inferential promiscuity; and (vi) abstract content."

It's interesting to think about the extent to which those properties are directly enabled by neural representations using Vector Symbolic Architectures / Hyperdimensional Computing. It hadn't occurred to me to draw a line between LoT and VSA/HDC.

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

Lieto, Antonio, Lebiere, Christian, & Oltramari, Alessandro (2018). The knowledge level in cognitive architectures: Current limitations and possible developments. Cognitive Systems Research, 48, 39-55.

https://doi.org/10.1016/j.cogsys.2017.05.001

#knowledgerepresentation #knowledgeprocessing #semanticmemory #cognitivearchitectures #cognitivesystems #ArtificialIntelligence #cognitivemodelling #computationalcognitivescience #AI

A selection of my favourite #books to read/study covering the intersection between #ArtificialIntelligence and #CognitiveScience....(yes, I included also "Cognitive Design for Artificial Minds" https://www.amazon.com/dp/1138207950/)

#AI #cognitiveAI #computationalcognitivescience #cognitivearchitectures #research #cognitivedesignforartificialminds

H3: In the context of #cognitiveAI, #computationalcognitivescience, I have proposed the "Minimal Cognitive Grid" a pragmatic method to quantitatively and qualitatively rank the different degrees of biological and #cognitiveplausibility of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration.

The idea was introduced in the book "Cognitive Design for Artificial Minds":

http://routledge.pub/AntonioLieto

In few weeks I will give an invited tutorial at AI*IA 2022 in Udine (https://aixia2022.uniud.it/keynotes-and-tutorials), the 21st International Conference of the Italian Association for #ArtificialIntelligence, on (some of) the topics covered in my #book "Cognitive Design for Artificial Minds" (https://www.amazon.com/dp/1138207950/).

#AI #cognitivesystems #CognitiveAI #cognitivescience #computationalmodelsofmind #cognitivescience #computationalcognitivescience #computationalmodelsofcognition