Zobrazeno 1 - 10
of 3 537
pro vyhledávání: '"Gopnik, A"'
Autor:
Yiu, Eunice, Qraitem, Maan, Wong, Charlie, Majhi, Anisa Noor, Bai, Yutong, Ginosar, Shiry, Gopnik, Alison, Saenko, Kate
This paper investigates visual analogical reasoning in large multimodal models (LMMs) compared to human adults and children. A "visual analogy" is an abstract rule inferred from one image and applied to another. While benchmarks exist for testing vis
Externí odkaz:
http://arxiv.org/abs/2407.17773
In this work we investigate how children ages 5-12 perceive, understand, and use generative AI models such as a text-based LLMs ChatGPT and a visual-based model DALL-E. Generative AI is newly being used widely since chatGPT. Children are also buildin
Externí odkaz:
http://arxiv.org/abs/2405.13081
Developmental psychologists have spent decades devising experiments to test the intelligence and knowledge of infants and children, tracing the origin of crucial concepts and capacities. Moreover, experimental techniques in developmental psychology h
Externí odkaz:
http://arxiv.org/abs/2305.11243
Much discussion about large language models and language-and-vision models has focused on whether these models are intelligent agents. We present an alternative perspective. We argue that these artificial intelligence models are cultural technologies
Externí odkaz:
http://arxiv.org/abs/2305.07666
Autor:
Kosoy, Eliza, Chan, David M., Liu, Adrian, Collins, Jasmine, Kaufmann, Bryanna, Huang, Sandy Han, Hamrick, Jessica B., Canny, John, Ke, Nan Rosemary, Gopnik, Alison
Recent work in machine learning and cognitive science has suggested that understanding causal information is essential to the development of intelligence. The extensive literature in cognitive science using the ``blicket detector'' environment shows
Externí odkaz:
http://arxiv.org/abs/2206.08353
Autor:
Kosoy, Eliza, Liu, Adrian, Collins, Jasmine, Chan, David M, Hamrick, Jessica B, Ke, Nan Rosemary, Huang, Sandy H, Kaufmann, Bryanna, Canny, John, Gopnik, Alison
Despite recent progress in reinforcement learning (RL), RL algorithms for exploration still remain an active area of research. Existing methods often focus on state-based metrics, which do not consider the underlying causal structures of the environm
Externí odkaz:
http://arxiv.org/abs/2202.10430
Autor:
GOPNIK, ADAM
Publikováno v:
New Yorker. 7/29/2024, Vol. 100 Issue 22, p63-66. 4p. 2 Cartoon or Caricatures.
Autor:
GOPNIK, ADAM
Publikováno v:
New Yorker. 6/24/2024, Vol. 100 Issue 18, p55-58. 4p. 3 Cartoon or Caricatures.
Autor:
Vasil, Ny, Srinivasan, Mahesh, Ellwood-Lowe, Monica E., Delaney, Sierra, Gopnik, Alison, Lombrozo, Tania
Publikováno v:
In Journal of Experimental Child Psychology June 2024 242
Autor:
Gopnik, Alison
Publikováno v:
Daedalus, 2023 Jan 01. 152(1), 58-69.
Externí odkaz:
https://www.jstor.org/stable/48714721