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#cognitivescience

2 posts2 participants0 posts today
Public
Marcin Miłkowski

Online-first!
W. Mamak & M. Miłkowski
“Meaning from Matching: How Representational Mechanisms Exploit Structural Similarity”

• Presents the Correspondence Network Framework (multi-channel structural similarity)
• Recasts RSA as detecting correspondence networks
• Explains why neural spaces form taxonomic clusters
• Counters anti-representationalist critiques & gives new heuristics for experiments

Read it here: ojs.ehu.eus/index.php/THEORIA/

ojs.ehu.eusMeaning from matching | THEORIA. An International Journal for Theory, History and Foundations of Science
#CognitiveScience#Neuroscience#Representation
Public
ENSO Seminars

We are delighted to welcome @mperezverdugo to present our final ENSO Seminar of the current academic year!

Marta will present on "Sensorimotor habits of engagement: looking at the interplay between technological design and personal autonomy through the enactive lens."

When: Wednesday 7th May 2025 @ 0900UTC (see www.ensoseminars.com for time in your own timezone)
Where: youtube.com/live/HWdYIwwNSkE

Abstract and other details:
ensoseminars.com/presentations

YouTubeMay 2025 -- Marta Pérez-Verdugo -- Sensorimotor Habits of EngagementBy ENSO Seminar Series
#enaction#CognitiveScience
Public
Instituto Psicodélico

“The resource-rationality idea gives a cognitive science explanation for why CBT methods work: they align with how the brain naturally tries to balance mental effort and emotional benefit.”#cognitivebehavioraltherapy #mentalhealth #cognitivescience #psychotherapy #psychedelicassistedpsychotherapy #learning nature.com/articles/s41467-025

NatureHumans learn generalizable representations through efficient coding - Nature CommunicationsReinforcement learning models of human behavior are limited in explaining the capacity for generalization. Here, the authors propose an efficient coding principle for reinforcement learning, whereby agents use compact representations, enabling human-like generalization.
Public
Antonio Lieto

Happy birthday to Cognitive Design for Artificial Minds (lnkd.in/gZtzwDn3) that was released 4 years ago!

Since then its ideas have been presented and discussed widely in the research fields of AI/Cognitive Science/Robotics and - nowadays - both the possibilities and the limitations of: #LLMs, #GenerativeAI and #ReinforcementLearning (already envisioned and discussed in the book) have become a common topic of research interests in the AI community and beyond.
Similarly also the topic concerning the evaluation - in human-like and human-level terms - of the current AI systems has become a critical theme related to the problem Anthropomorphic interpretation of AI output (see e.g. lnkd.in/dVi9Qf_k ).
Book reviews have been published on ACM Computing Reviews (2021) lnkd.in/dWQpJdkV and on Argumenta (2023): lnkd.in/derH3VKN

I have been invited to present the content of the book in over 20 official scientific events in international conferences, Ph.D Schools in US, China, Japan, Finland, Germany, Sweden, France, Brazil, Poland, Austria and, of course, Italy.

A news I am happy to share is that Routledge/Taylor & Francis contacted me few weeks ago for a second edition! Stay tuned!

The #book is available in many webstores:
- Routledge: lnkd.in/dPrC26p
- Taylor & Francis: lnkd.in/dprVF2w
- Amazon: lnkd.in/dC8rEzPi

@academicchatter @cognition
#AI #minimalcognitivegrid #CognitiveAI #cognitivescience #cognitivesystems

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