What artificial neural networks can tell us about human language acquisition
A Warstadt, SR Bowman - Algebraic structures in natural …, 2022 - taylorfrancis.com
Rapid progress in machine learning for natural language processing has the potential to
transform debates about how humans learn language. However, the learning environments …
transform debates about how humans learn language. However, the learning environments …
Collective predictive coding hypothesis: Symbol emergence as decentralized bayesian inference
T Taniguchi - Frontiers in Robotics and AI, 2024 - frontiersin.org
Understanding the emergence of symbol systems, especially language, requires the
construction of a computational model that reproduces both the developmental learning …
construction of a computational model that reproduces both the developmental learning …
Emergent communication: Generalization and overfitting in lewis games
Lewis signaling games are a class of simple communication games for simulating the
emergence of language. In these games, two agents must agree on a communication …
emergence of language. In these games, two agents must agree on a communication …
Toward More Human-Like AI Communication: A Review of Emergent Communication Research
N Brandizzi - IEEE Access, 2023 - ieeexplore.ieee.org
In the recent shift towards human-centric AI, the need for machines to accurately use natural
language has become increasingly important. While a common approach to achieve this is …
language has become increasingly important. While a common approach to achieve this is …
Emergent communication through metropolis-hastings naming game with deep generative models
T Taniguchi, Y Yoshida, Y Matsui, N Le Hoang… - Advanced …, 2023 - Taylor & Francis
Constructive studies on symbol emergence systems seek to investigate computational
models that can better explain human language evolution, the creation of symbol systems …
models that can better explain human language evolution, the creation of symbol systems …
Emergent communication in interactive sketch question answering
Vision-based emergent communication (EC) aims to learn to communicate through sketches
and demystify the evolution of human communication. Ironically, previous works neglect …
and demystify the evolution of human communication. Ironically, previous works neglect …
Emergent communication for understanding human language evolution: What's missing?
Emergent communication protocols among humans and artificial neural network agents do
not yet share the same properties and show some critical mismatches in results. We …
not yet share the same properties and show some critical mismatches in results. We …
Recursive metropolis-hastings naming game: symbol emergence in a multi-agent system based on probabilistic generative models
J Inukai, T Taniguchi, A Taniguchi… - Frontiers in Artificial …, 2023 - frontiersin.org
In the studies on symbol emergence and emergent communication in a population of
agents, a computational model was employed in which agents participate in various …
agents, a computational model was employed in which agents participate in various …
A survey of multi-agent deep reinforcement learning with communication
Communication is an effective mechanism for coordinating the behaviors of multiple agents,
broadening their views of the environment, and to support their collaborations. In the field of …
broadening their views of the environment, and to support their collaborations. In the field of …
Learning from teaching regularization: Generalizable correlations should be easy to imitate
Generalization remains a central challenge in machine learning. In this work, we propose
Learning from Teaching (LoT), a novel regularization technique for deep neural networks to …
Learning from Teaching (LoT), a novel regularization technique for deep neural networks to …