Inductive biases for deep learning of higher-level cognition

A Goyal, Y Bengio - Proceedings of the Royal Society A, 2022 - royalsocietypublishing.org
A fascinating hypothesis is that human and animal intelligence could be explained by a few
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …

Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models--A Survey

P Mondorf, B Plank - arxiv preprint arxiv:2404.01869, 2024 - arxiv.org
Large language models (LLMs) have recently shown impressive performance on tasks
involving reasoning, leading to a lively debate on whether these models possess reasoning …

AI for social science and social science of AI: A survey

R Xu, Y Sun, M Ren, S Guo, R Pan, H Lin, L Sun… - Information Processing …, 2024 - Elsevier
Recent advancements in artificial intelligence, particularly with the emergence of large
language models (LLMs), have sparked a rethinking of artificial general intelligence …

Probing the psychology of AI models

R Shiffrin, M Mitchell - Proceedings of the National Academy of Sciences, 2023 - pnas.org
Large language models (LLMs), such as OpenAI's GPT-3 and its successor ChatGPT, have
exhibited astounding successes—as well as curious failures—in several areas of artificial …

The development of human causal learning and reasoning

MK Goddu, A Gopnik - Nature Reviews Psychology, 2024 - nature.com
Causal understanding is a defining characteristic of human cognition. Like many animals,
human children learn to control their bodily movements and act effectively in the …

Visual cognition in multimodal large language models

LM Schulze Buschoff, E Akata, M Bethge… - Nature Machine …, 2025 - nature.com
A chief goal of artificial intelligence is to build machines that think like people. Yet it has
been argued that deep neural network architectures fail to accomplish this. Researchers …

[PDF][PDF] Have we built machines that think like people

LMS Buschoff, E Akata, M Bethge… - arxiv preprint arxiv …, 2023 - hcai-munich.com
ABSTRACT A chief goal of artificial intelligence is to build machines that think like people.
Yet it has been argued that deep neural network architectures fail to accomplish this …

Visual cognition in multimodal large language models

LMS Buschoff, E Akata, M Bethge, E Schulz - arxiv preprint arxiv …, 2023 - arxiv.org
A chief goal of artificial intelligence is to build machines that think like people. Yet it has
been argued that deep neural network architectures fail to accomplish this. Researchers …

Narrative Creativity: An Introduction to How and Why

A Fletcher, M Benveniste - Elements in Creativity and Imagination, 2025 - cambridge.org
Narrative creativity is a new, neuroscience-based approach to innovation, problem solving,
and resilience that has proved effective in business executives, scientists, engineers …

AI chatbot responds to emotional cuing

Y Zhao, L Xu, Z Huang, K Peng, M Seligman, E Li, F Yu - 2023 - researchsquare.com
Emotion has long been considered to distinguish humans from Artificial Intelligence (AI).
Previously, AI's ability to interpret and express emotions was seen as mere text …