#computationalcognitivescience — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #computationalcognitivescience, aggregated by home.social.
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CW: Seeking guidance on how to organise multiple interrelated #RStats computational science projects for #ReproducibleResearch
I am seeking guidance on how to organise multiple interrelated computational science projects, using #git, #RStats, #quarto, and #targets or #TLang
I intend to carry out multiple, related subprojects over an extended period (years). Each subproject will involve some computational science work programmed in #RStats with the results collected in #quarto notebook(s) and written up in #quarto documents (preprints/papers). This would be orchestrated using the #targets package (https://docs.ropensci.org/targets/) from @landau or possibly #TLang (https://tstats-project.org/index.html) from @brodriguesco .
The computational and data load for each subproject is modest, so I can reasonably run it on my laptop. I want everything I do to be #OpenScience and #ReproducibleResearch.
If the subprojects were completely freestanding I would structure each one as a separate #RStats project with it's own #git repo. Then I would upload that project repo to an archive like Zenodo so it gets it's own DOI.
Things get more complicated by having multiple, related subprojects. There will be some software infrastructure that is shared across subprojects and will evolve over time/subprojects. I think that should be treated as a freestanding #RStats package with a separate project and git repo. The subprojects would load the specific version of the infrastructure that they need.Some of the subprojects *may* import data from other subprojects. Getting the data is not a problem if all the subprojects are children of the same parent directory. The tricky part here is the orchestration (targets or TLang). This suggests to me that all the subprojects should be treated as parts of one overall project for orchestration purposes. But I believe that git repos inside other repos is a bad thing, so should there be only one git repo for the top level project (containing all the subprojects)? If so, how do I archive and publish the subprojects as individual entities?
I intend to have a final subproject that integrates all the other subprojects. Think of it as like a thesis that reports the work done in all the other subprojects. This will *definitely* need to pull results from the other subprojects. Again, how do I structure everything so that each of the subprojects (including the final integrative subproject) can be separately archived and published?
(My interest in TLang as an alternative to targets is because TLang uses Nix to isolate the software configuration of each computational node. Given that the subprojects may be written over years it is quite possible that each subproject will need a different software configuration.)
Any pointers to guidance on how to configure such an extended project would be greatly appreciated.
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CW: Seeking guidance on how to organise multiple interrelated #RStats computational science projects for #ReproducibleResearch
I am seeking guidance on how to organise multiple interrelated computational science projects, using #git, #RStats, #quarto, and #targets or #TLang
I intend to carry out multiple, related subprojects over an extended period (years). Each subproject will involve some computational science work programmed in #RStats with the results collected in #quarto notebook(s) and written up in #quarto documents (preprints/papers). This would be orchestrated using the #targets package (https://docs.ropensci.org/targets/) from @landau or possibly #TLang (https://tstats-project.org/index.html) from @brodriguesco .
The computational and data load for each subproject is modest, so I can reasonably run it on my laptop. I want everything I do to be #OpenScience and #ReproducibleResearch.
If the subprojects were completely freestanding I would structure each one as a separate #RStats project with it's own #git repo. Then I would upload that project repo to an archive like Zenodo so it gets it's own DOI.
Things get more complicated by having multiple, related subprojects. There will be some software infrastructure that is shared across subprojects and will evolve over time/subprojects. I think that should be treated as a freestanding #RStats package with a separate project and git repo. The subprojects would load the specific version of the infrastructure that they need.Some of the subprojects *may* import data from other subprojects. Getting the data is not a problem if all the subprojects are children of the same parent directory. The tricky part here is the orchestration (targets or TLang). This suggests to me that all the subprojects should be treated as parts of one overall project for orchestration purposes. But I believe that git repos inside other repos is a bad thing, so should there be only one git repo for the top level project (containing all the subprojects)? If so, how do I archive and publish the subprojects as individual entities?
I intend to have a final subproject that integrates all the other subprojects. Think of it as like a thesis that reports the work done in all the other subprojects. This will *definitely* need to pull results from the other subprojects. Again, how do I structure everything so that each of the subprojects (including the final integrative subproject) can be separately archived and published?
(My interest in TLang as an alternative to targets is because TLang uses Nix to isolate the software configuration of each computational node. Given that the subprojects may be written over years it is quite possible that each subproject will need a different software configuration.)
Any pointers to guidance on how to configure such an extended project would be greatly appreciated.
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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://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 -
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://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
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
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The next VSAonline webinar is at 17:00 UTC (not the usual time), Monday 27 January.
Zoom: https://ltu-se.zoom.us/j/65564790287
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
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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 -
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
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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
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CW: Help requested - Open Access journals for Artificial Intelligence / Computational Cognitive Science
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
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CW: Help requested - Open Access journals for Artificial Intelligence / Computational Cognitive Science
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
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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
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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
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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
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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
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Here are two high level articles that mention Vector Symbolic Architecure / HyperDimensional Computing in the more "popular" end of the technical press:
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10098176
#VSA #VectorSymbolicArchitecture #HDC #HyperdimensionalComputing #CompCogSci #ComputationalCognitiveScience #CogSci #CognitiveScience #MathPsych #MathematicalPsychology
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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":
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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":
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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