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#cogsci

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Jan D<p>MIT Encyclopedia of Cognitive Sciences is over 25 years old by now and totally not up-to-date, but it is still immensely enjoyable to read. <br>However, if you want something newer and openaccess, try <a href="https://oecs.mit.edu/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">oecs.mit.edu/</span><span class="invisible"></span></a> <br>(it sadly seems to lack some articles with relation to cultural anthropology)</p><p><a href="https://hci.social/tags/cogsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogsci</span></a> <a href="https://hci.social/tags/OpenAccess" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAccess</span></a> <a href="https://hci.social/tags/anthropology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anthropology</span></a></p>
Tom Stafford<p>Newsletter, my latest installment in the "how to think about the new AI models" series on Reasonable People</p><p><a href="https://open.substack.com/pub/tomstafford/p/large-language-models-and-the-amazon" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.substack.com/pub/tomstaff</span><span class="invisible">ord/p/large-language-models-and-the-amazon</span></a></p><p><a href="https://mastodon.online/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://mastodon.online/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.online/tags/CogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CogSci</span></a></p>
Nick Byrd, Ph.D.<p>Are <a href="https://nerdculture.de/tags/languageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>languageModels</span></a> vulnerable to <a href="https://nerdculture.de/tags/anchoring" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anchoring</span></a> <a href="https://nerdculture.de/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bias</span></a>?</p><p>Huang et al. generated the <a href="https://nerdculture.de/tags/SynAnchors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SynAnchors</span></a> dataset to find out.</p><p>Anchoring was more common in shallower layers of models.</p><p>A reflective reasoning strategy was usually most helpful.</p><p><a href="https://doi.org/10.48550/arXiv.2505.15392" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.48550/arXiv.2505.15</span><span class="invisible">392</span></a></p><p><a href="https://nerdculture.de/tags/CogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CogSci</span></a> <a href="https://nerdculture.de/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://nerdculture.de/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://nerdculture.de/tags/edu" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>edu</span></a></p>
Tom Stafford<p>Encouraged by the reaction to yesterday's (very short) post : <a href="https://tomstafford.substack.com/p/ai-will-be-the-biro-of-thought" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tomstafford.substack.com/p/ai-</span><span class="invisible">will-be-the-biro-of-thought</span></a></p><p>I have a set of similar pre-baked talking points on how to make sense of the AI/LLM revolution, so this may be the first in a series</p><p><a href="https://mastodon.online/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.online/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://mastodon.online/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> <a href="https://mastodon.online/tags/CogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CogSci</span></a></p>
Nick Byrd, Ph.D.<p>At what point does giving <a href="https://nerdculture.de/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> examples of ideal reasoning fail to produce additional benefit?</p><p>With one popular <a href="https://nerdculture.de/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> analyzing clinical cases, improvement wasn't linear: accuracy peaked at around nine examples and then declined (on average).</p><p><a href="https://doi.org/10.1093/ehjdh/ztaf068" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1093/ehjdh/ztaf068</span><span class="invisible"></span></a></p><p><a href="https://nerdculture.de/tags/edu" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>edu</span></a> <a href="https://nerdculture.de/tags/cogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogSci</span></a></p>
Richard Dallaway<p>Sad news: “BODEN — Professor Margaret (Maggie) Boden, renowned cognitive scientist and long-time member of the University of Sussex, died peacefully in Brighton on 18th July 2025, aged 88.”</p><p><a href="https://www.theargus.co.uk/memorials/death-notices/death/30683058.margaret-maggie-boden/notice/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">theargus.co.uk/memorials/death</span><span class="invisible">-notices/death/30683058.margaret-maggie-boden/notice/</span></a></p><p> <a href="https://mastodon.green/tags/cogsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogsci</span></a></p>
ma𝕏pool<p>ARC-3, a sneak peek at the next-gen, interactive reasoning benchmark designed to illuminate the capability gap between today's AI and tomorrow's AGI. </p><p>Play First 3 Games<br><a href="https://three.arcprize.org/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">three.arcprize.org/</span><span class="invisible"></span></a></p><p>As with previous ARC tests, the actual games used for testing AI are kept secret. AI algorithms must learn the games on the spot.</p><p>There are no instructions. You must play the game to discover controls, rules, and goal.</p><p>Interactive Reasoning Benchmarks (IRBs) test for a broad scope of capabilities:</p><p>• Exploration<br>• Percept -&gt; Plan → Action<br>• Memory<br>• Goal Acquisition<br>• Alignment</p><p>Game Design Constraints</p><p>• Easy for humans (can pick it up in &lt;1 min of game play)<br>• Core Knowledge Priors (no language, trivia, cultural symbols)<br>• Should require no instructions to play<br>• Should be fun for humans and playable in 5-10 minutes<br>• Innovative and novel game mechanics encouraged (Hidden state, theory of mind, long term planning, navigating other agents, etc.)</p><p><a href="https://mathstodon.xyz/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mathstodon.xyz/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://mathstodon.xyz/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mathstodon.xyz/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGI</span></a> <a href="https://mathstodon.xyz/tags/ARC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ARC</span></a> <a href="https://mathstodon.xyz/tags/cognition" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cognition</span></a> <a href="https://mathstodon.xyz/tags/cogsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogsci</span></a> <a href="https://mathstodon.xyz/tags/cognitiveScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cognitiveScience</span></a> <a href="https://mathstodon.xyz/tags/deepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deepLearning</span></a></p>
Nick Byrd, Ph.D.<p>🧵This week I'm posting about presentations from two cool events (over on Twitter): <a href="https://x.com/byrd_nick/status/1943219893291164057" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">x.com/byrd_nick/status/1943219</span><span class="invisible">893291164057</span></a></p><p>What are the events?<br>(1) The 1st Experimental Argument Analysis workshop<br>(2) The 5th European <a href="https://nerdculture.de/tags/ExperimentalPhilosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ExperimentalPhilosophy</span></a> <a href="https://nerdculture.de/tags/Conference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Conference</span></a></p><p><a href="https://nerdculture.de/tags/cogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogSci</span></a> <a href="https://nerdculture.de/tags/xPhi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xPhi</span></a> <a href="https://nerdculture.de/tags/Linguistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Linguistics</span></a> <a href="https://nerdculture.de/tags/Psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Psychology</span></a> <a href="https://nerdculture.de/tags/Logic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Logic</span></a> <a href="https://nerdculture.de/tags/edu" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>edu</span></a> <a href="https://nerdculture.de/tags/teaching" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>teaching</span></a></p>
Nick Byrd, Ph.D.Maybe <a class="u-url mention" href="https://pixelfed.social/Dockers" rel="nofollow noopener" target="_blank">@Dockers</a> opted for the misspelled "TruTemp" <a href="https://pixelfed.social/discover/tags/branding?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#branding</a> because <a href="https://pixelfed.social/discover/tags/philosophy?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#philosophy</a> had already taken "Truetemp".<br> <br> Aside: I recently published new data about <a href="https://pixelfed.social/discover/tags/thoughtExperiments?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#thoughtExperiments</a> like Truetemp:<br> 🔒 <a href="https://doi.org/10.1093/analys/anaf015" rel="nofollow noopener" target="_blank">https://doi.org/10.1093/analys/anaf015</a><br> 🔓 <a href="https://osf.io/preprints/psyarxiv/y8sdm" rel="nofollow noopener" target="_blank">https://osf.io/preprints/psyarxiv/y8sdm</a><br> <br> <a href="https://pixelfed.social/discover/tags/cogSci?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#cogSci</a> <a href="https://pixelfed.social/discover/tags/xPhi?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#xPhi</a> <a href="https://pixelfed.social/discover/tags/trademark?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#trademark</a> <a href="https://pixelfed.social/discover/tags/marketing?src=hash" class="u-url hashtag" rel="nofollow noopener" target="_blank">#marketing</a>
Nick Byrd, Ph.D.<p>Maybe @Dockers opted for the misspelled "TruTemp" <a href="https://nerdculture.de/tags/branding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>branding</span></a> because <a href="https://nerdculture.de/tags/philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophy</span></a> had already taken "Truetemp".</p><p>Aside: I recently published new data about <a href="https://nerdculture.de/tags/thoughtExperiments" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>thoughtExperiments</span></a> like Truetemp:<br>🔒 <a href="https://doi.org/10.1093/analys/anaf015" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1093/analys/anaf015</span><span class="invisible"></span></a><br>🔓 <a href="https://osf.io/preprints/psyarxiv/y8sdm" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">osf.io/preprints/psyarxiv/y8sd</span><span class="invisible">m</span></a></p><p><a href="https://nerdculture.de/tags/cogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogSci</span></a> <a href="https://nerdculture.de/tags/xPhi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xPhi</span></a> <a href="https://nerdculture.de/tags/trademark" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>trademark</span></a> <a href="https://nerdculture.de/tags/marketing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>marketing</span></a></p>
LSP-ENS<p>🎉 TWO new preprints from our lab on hierarchical processing in ferret auditory cortex! 🦊🧠<br>🚨 Stay tuned for highlights on each study in the following posts 🚨<br><a href="https://fediscience.org/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a> <a href="https://fediscience.org/tags/CogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CogSci</span></a> <a href="https://fediscience.org/tags/BioRxiv" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BioRxiv</span></a></p>
Stan Carey<p>"Critical ignoring" as a strategy to control and immunize one's information environment (Kozyreva et al., 2023) <a href="https://journals.sagepub.com/doi/epub/10.1177/09637214221121570" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">journals.sagepub.com/doi/epub/</span><span class="invisible">10.1177/09637214221121570</span></a></p><p>Such a useful frame for something I've long practised but didn't have a good term for before</p><p><a href="https://mastodon.ie/tags/information" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>information</span></a> <a href="https://mastodon.ie/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://mastodon.ie/tags/psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psychology</span></a> <a href="https://mastodon.ie/tags/DigitalLiteracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalLiteracy</span></a> <a href="https://mastodon.ie/tags/CriticalThinking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CriticalThinking</span></a> <a href="https://mastodon.ie/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a> <a href="https://mastodon.ie/tags/CogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CogSci</span></a> <a href="https://mastodon.ie/tags/misinformation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>misinformation</span></a> <a href="https://mastodon.ie/tags/disinformation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>disinformation</span></a> <a href="https://mastodon.ie/tags/internet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>internet</span></a> <a href="https://mastodon.ie/tags/reading" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reading</span></a></p>
Ulrike Hahn<p>and he is at the forefront of research examining <a href="https://fediscience.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> in agent-based settings and agent-based modelling</p><p>e.g., <a href="https://s.bingheai.cn:8443/abs/2409.02822" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">s.bingheai.cn:8443/abs/2409.02</span><span class="invisible">822</span></a></p><p>and</p><p><a href="https://arxiv.org/abs/2409.02822" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2409.02822</span><span class="invisible"></span></a></p><p>so this will be a totally different aspect to LLMs than what we’ve seen in the seminar series so far! <span class="h-card" translate="no"><a href="https://a.gup.pe/u/cogsci" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>cogsci</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/philosophy" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>philosophy</span></a></span> <a href="https://fediscience.org/tags/cogsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogsci</span></a> <a href="https://fediscience.org/tags/ABMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ABMs</span></a></p>
Mark Dingemanse<p>You hear a word like tugɯn-dugɯn and two possible meanings, ‘gentle movement’ or ‘heartbeat’. Which one do you pick? And what does this have to do with the <a href="https://scholar.social/tags/cogsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogsci</span></a> notion of structure mapping? </p><p>Our paper in Open Mind explores these questions and more <a href="https://doi.org/10.1162/opmi_a_00162" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1162/opmi_a_00162</span><span class="invisible"></span></a> (w/ Stella Punselie &amp; Bonnie McLean)</p><p>Blog about the paper here: <a href="https://ideophone.org/anatomy-of-iconicity/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ideophone.org/anatomy-of-iconi</span><span class="invisible">city/</span></a></p>
Iris van Rooij 💭<p>🎬🎥🍿 Video of my keynote at MathPsych2024 now available online <a href="https://www.youtube.com/watch?v=WrwNPVTjJpo" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=WrwNPVTjJp</span><span class="invisible">o</span></a></p><p><a href="https://scholar.social/tags/CogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CogSci</span></a> <a href="https://scholar.social/tags/CriticalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CriticalAI</span></a> <a href="https://scholar.social/tags/AIhype" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIhype</span></a> <a href="https://scholar.social/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGI</span></a> <a href="https://scholar.social/tags/PsychSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PsychSci</span></a> <a href="https://scholar.social/tags/PhilSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PhilSci</span></a> 🧪 <a href="https://youtu.be/WrwNPVTjJpo?feature=shared" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">youtu.be/WrwNPVTjJpo?feature=s</span><span class="invisible">hared</span></a></p>
Tom Stafford<p>Noticed via a couple of podcasts that some people are using "did not replicate" to mean "didn't turn out to be as useful as claimed"</p><p>Yes, *some* psych phenomena turned out to have effect sizes at or close to zero (ego depletion)</p><p>But others are vary reliably non-zero (e.g. race IAT scores), we just don't know what - if anything - that means. The phenomenon does *replicate*. </p><p>1/</p><p><a href="https://mastodon.online/tags/psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psychology</span></a> <a href="https://mastodon.online/tags/cogsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogsci</span></a></p>
Iris van Rooij 💭<p>Teaser clip from the Q&amp;A from my keynote at MathPsych2024 conference this year</p><p><a href="https://www.youtube.com/clip/UgkxPQN1pqdeD4ABP9BVvXsSDJb_6GIYmc6m" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/clip/UgkxPQN1pqdeD</span><span class="invisible">4ABP9BVvXsSDJb_6GIYmc6m</span></a></p><p><a href="https://scholar.social/tags/criticalAIliteracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>criticalAIliteracy</span></a> <a href="https://scholar.social/tags/AIhype" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIhype</span></a> <br><a href="https://scholar.social/tags/cogsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogsci</span></a></p>
Tom Stafford<p>Newsletter time!</p><p><a href="https://open.substack.com/pub/tomstafford/p/legibility-and-legitimacy" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.substack.com/pub/tomstaff</span><span class="invisible">ord/p/legibility-and-legitimacy</span></a></p><p>I had some thoughts about how the social life of reasons can push us into using cruder decision rules.</p><p><a href="https://mastodon.online/tags/Reasoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Reasoning</span></a> <a href="https://mastodon.online/tags/Psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Psychology</span></a> <a href="https://mastodon.online/tags/CogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CogSci</span></a> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/cogsci" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>cogsci</span></a></span></p>
Yohan John 🤖🧠<p>Are large language models 'symbolic' or 'subsymbolic'? Perhaps both?</p><p>More broadly, do you think the striking abilities of LLMs have blurred the distinction between symbolic and subsymbolic processes?</p><p>And do LLMs solve a version of the symbol grounding problem? </p><p><a href="https://fediscience.org/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://fediscience.org/tags/philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophy</span></a> <a href="https://fediscience.org/tags/cogsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogsci</span></a></p>
Dimitri Coelho Mollo<p>Preprint announcement:</p><p>A. Vernazzani and I have just made available a paper of ours, soon to be published in a volume:</p><p><a href="https://philpapers.org/rec/VERFOD-2" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">philpapers.org/rec/VERFOD-2</span><span class="invisible"></span></a></p><p>It is a sort of companion piece to a paper of ours on representational formats published in PhilSci last year. While that paper proposed a novel computational theory of formats, this one takes a more negative tack, investigating how reliance on everyday intuitions misleads research on formats in cognitive science.</p><p><a href="https://social.sunet.se/tags/philsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philsci</span></a> <a href="https://social.sunet.se/tags/cogsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogsci</span></a></p>