activity
20132026
most citedBounded Recursive Self-Improvement

18 citations · 66 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

q-bio.NC2023

Exploration and Comparison of Deep Learning Architectures to Predict Brain Response to Realistic Pictures

Riccardo Chimisso, Sathya Buršić, Paolo Marocco +2

We present an exploration of machine learning architectures for predicting brain responses to realistic images on occasion of the Algonauts Challenge 2023. Our research involved ex…

q-bio.NC2023

Multimodal Integration of Olfactory and Visual Processing through DCM analysis: Contextual Modulation of Facial Perception

Gianluca Rho, Alejandro Luis Callara, Francesco Bossi +5

This study examines the modulatory effect of contextual hedonic olfactory stimuli on the visual processing of neutral faces using event-related potentials (ERPs) and effective conn…

cs.HC2023★ 8 cited

Learning to Prompt in the Classroom to Understand AI Limits: A pilot study

Emily Theophilou, Cansu Koyuturk, Mona Yavari +10

Artificial intelligence's (AI) progress holds great promise in tackling pressing societal concerns such as health and climate. Large Language Models (LLM) and the derived chatbots,…

cs.HC2023★ 7 cited

Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)

Cansu Koyuturk, Mona Yavari, Emily Theophilou +9

Educational chatbots come with a promise of interactive and personalized learning experiences, yet their development has been limited by the restricted free interaction capabilitie…

cs.AI2023

Influence of the Geometry of the world model on Curiosity Based Exploration

Grégoire Sergeant-Perthuis, Nils Ruet, David Rudrauf +2

In human spatial awareness, 3-D projective geometry structures information integration and action planning through perspective taking within an internal representation space. The w…

cs.RO2023★ 6 cited

World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges

Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki +8

Creating autonomous robots that can actively explore the environment, acquire knowledge and learn skills continuously is the ultimate achievement envisioned in cognitive and develo…