Samuel Aeschbach
@aeschbach.bsky.social
100 followers 140 following 14 posts
Cognitive Science, Complexity, Mental Representation, Risky Decisions | Postdoc @unibas.ch | Guest Researcher @arc-mpib.bsky.social
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aeschbach.bsky.social
💡 We found that study designs supporting good inference use at least moderate cue set sizes and number of responses, as well as mixed or broad cue set types.

Read more in our open access paper:
doi.org/10.1371/jour...
aeschbach.bsky.social
⚠️ However, bias is high and varies a lot across study designs.

This renders comparisons of semantic network metrics between study designs very hard to interpret.
aeschbach.bsky.social
Semantic representation recovery was evaluated in terms of bias, resolution, and generalizability of semantic network metrics.

✅ Models of semantic representation can be inferred successfully from free association and relatedness judgments, if appropriate study designs are used!
aeschbach.bsky.social
How well do semantic networks infered from free association and relatedness judgments recover the semantic representations of simulated individuals?

We systematically varied four characteristics of empirical study designs: cue set type, cue set size, number of responses, and response type.
Simulation overview
Reposted by Samuel Aeschbach
arc-mpib.bsky.social
🚨 Applications for the 22nd Summer Institute on Bounded Rationality are now open!

🌐 Join us in Berlin @mpib-berlin.bsky.social from June 17–25, 2025 to explore "Decision Making in a Digital World".

✏️ Application deadline is March 9 - more info at 👇!!

www.mpib-berlin.mpg.de/research/res...
Summer Institute
www.mpib-berlin.mpg.de
aeschbach.bsky.social
To analyze group differences in the LLM-generated response frequencies from each cluster.
Group differences in LLM-generated free associations to 'intelligence'.
aeschbach.bsky.social
In the tutorial, we show, how we analyzed LLM-generated example free associations to the term 'intelligence', grouping responses into six clusters.
Projection of LLM-generated free associations to the term 'intelligence' grouped into six clusters.
aeschbach.bsky.social
Our tutorial on mapping mental representations with free associations and the associatoR R package was published this week in @jcgntn.bsky.social!

With @ruimata.bsky.social at @unibas.ch and @dirkwulff.bsky.social lff.bsky.social at @arc-mpib.bsky.social.

Read open access: doi.org/10.5334/joc....
aeschbach.bsky.social
Preprint: Individual-level semantic networks are a critical ingredient for building realistic cognitive models. In our simulation, @ruimata.bsky.social, @dirkwulff.bsky.social, and I show when measurements of individual semantic networks are accurate and when they are not.
📄 arxiv.org/abs/2410.18326
Reposted by Samuel Aeschbach
arc-mpib.bsky.social
Wie sieht dein mentales Lexikon aus? Mit unserem Wortassoziationsspiel möchten wir herausfinden, wie Wörter im #Gedächtnis angeordnet sind. Nimm teil!

smallworldofwords.org/de

#CitizenScience #Sprache
Small World of Words
Play a word association game and contribute to science.
smallworldofwords.org
aeschbach.bsky.social
Unsere Wortassoziationsstudie zeigt nun die Häufigkeit der eigenen Assoziationen an. Zudem werden die häufigsten Assoziationen aller Teilnehmer:innen angezeigt.

5 Minuten teilnehmen und eigene Assoziationen vergleichen: smallworldofwords.org/de
screenshot
aeschbach.bsky.social
By prompting GPT-4 to produce responses typical for different genders, we compare it's gender-specific representation of 'intelligence'.
aeschbach.bsky.social
We demonstrate the associatoR workflow by analyzing GPT-4-generated free associations to the term 'intelligence'.
aeschbach.bsky.social
I am happy to share a preprint of a tutorial with @ruimata.bsky.social and @dirkwulff.bsky.social on analyzing free associations using our new R package associatoR!

Have a look...

📄 at the preprint:
doi.org/10.31234/osf...
💻 at the R package:
github.com/samuelae/ass...