Samuel Aeschbach

💡 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...

⚠️ 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.

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!

Simulation overview

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.

Measuring individual semantic networks: A simulation study Accurately capturing individual differences in semantic networks is fundamental to advancing our mechanistic understanding of semantic memory. Past empirical attempts to construct individual-level sem...

New semantic network paper in @plosone.org with @ruimata.bsky.social at @unibas.ch and @dirkwulff.bsky.social at @arc-mpib.bsky.social!

We ran large-scale simulations to test how well common behavioral tasks measure a person's semantic network.

doi.org/10.1371/jour...

Summer Institute

🚨 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...

GitHub - samuelae/associatoR: an R package to work with association data an R package to work with association data. Contribute to samuelae/associatoR development by creating an account on GitHub.

Check out the open access tutorial paper here: doi.org/10.5334/joc....

Check out the open source R package here: github.com/samuelae/ass...

Group differences in LLM-generated free associations to 'intelligence'.

To analyze group differences in the LLM-generated response frequencies from each cluster.

Projection of LLM-generated free associations to the term 'intelligence' grouped into six clusters.

In the tutorial, we show, how we analyzed LLM-generated example free associations to the term 'intelligence', grouping responses into six clusters.

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....

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

Small World of Words Play a word association game and contribute to science.

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

How large language models can reshape collective intelligence - Nature Human Behaviour Collective intelligence is the basis for group success and is frequently supported by information technology. Burton et al. argue that large language models are transforming information access and tra...

There's been lots of speculation about potential societal impacts of LLMs 🌍

In a new Nature Human Behaviour (@natureportfolio.bsky.social) article, I and 27 researchers argue that we should be thinking about those impacts through the lens of collective intelligence

www.nature.com/articles/s41...

Junge Menschen sind häufiger Single und zufriedener damit: mehr Infos in dem neuesten Artikel von Tita Gonzalez Avilés.
de.in-mind.org/blog/post/da...

screenshot

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

By prompting GPT-4 to produce responses typical for different genders, we compare it's gender-specific representation of 'intelligence'.

We demonstrate the associatoR workflow by analyzing GPT-4-generated free associations to the term 'intelligence'.

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...