activity
20182023
most citedDevelopmentally motivated emergence of compositional communication via template transfer

25 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023

Context-dependent communication under environmental constraints

Krzysztof Główka, Julian Zubek, Joanna Rączaszek-Leonardi

There is significant evidence that real-world communication cannot be reduced to sending signals with context-independent meaning. In this work, based on a variant of the classical…

cs.AI2023★ 2 cited

Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima

Julian Zubek, Tomasz Korbak, Joanna Rączaszek-Leonardi

Computational simulations are a popular method for testing hypotheses about the emergence of communication. This kind of research is performed in a variety of traditions including…

cs.NE2020★ 8 cited

Measuring non-trivial compositionality in emergent communication

Tomasz Korbak, Julian Zubek, Joanna Rączaszek-Leonardi

Compositionality is an important explanatory target in emergent communication and language evolution. The vast majority of computational models of communication account for the eme…

cs.LG2019★ 25 cited

Developmentally motivated emergence of compositional communication via template transfer

Tomasz Korbak, Julian Zubek, Łukasz Kuciński +2

This paper explores a novel approach to achieving emergent compositional communication in multi-agent systems. We propose a training regime implementing template transfer, the idea…

cs.AI2018★ 2 cited

Learning from Exemplars and Prototypes in Machine Learning and Psychology

Julian Zubek, Ludmila Kuncheva

This paper draws a parallel between similarity-based categorisation models developed in cognitive psychology and the nearest neighbour classifier (1-NN) in machine learning. Concei…