Results 131 to 140 of about 92,999 (241)

Artificial intelligence chatbots mimic human collective behaviour

British Journal of Psychology, Volume 117, Issue 2, Page 761-776, May 2026.
Abstract Artificial Intelligence (AI) chatbots, such as ChatGPT, have been shown to mimic individual human behaviour in a wide range of psychological and economic tasks. Do groups of AI chatbots also mimic collective behaviour? If so, artificial societies of AI chatbots may aid social scientific research by simulating human collectives.
James K. He, Felix P. S. Wallis, Andrés Gvirtz, Steve Rathje   +3 more
wiley   +1 more source

ŞUKASAPTATİ’DE KADIN MOTİFİ

Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2016
Aslında eğlenceli ve gerçek dışı gibi görünseler de masallar, toplumun değer yargıları ile ilgili önemli mesajlar içerir. Kültür aktarımı yaparken, bir yandan da toplumun eğitilmesine katkı sağlar.
Şengül Demirel
doaj  

Making Accurate Judgements in Child Welfare: Comparing ChatGPT With Qualified Social Workers

Child &Family Social Work, Volume 31, Issue 2, Page 703-712, May 2026.
ABSTRACT This study compares the judgemental accuracy of child and family social workers (n = 581) with ChatGPT, a generative AI model. Using 12 anonymized referrals, participants were asked predictive questions to evaluate accuracy through Brier scores. ChatGPT outperformed the average social worker on 11 of the 12 referrals, though the difference was
David Wilkins, Verity Benett
wiley   +1 more source

Language machines: Toward a linguistic anthropology of large language models

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux, Michael Castelle, Anna Weichselbraun   +2 more
wiley   +1 more source

Co‐textual dopes: How LLMs produce contextually appropriate text in chat interactions with humans without access to context

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract This paper asks how LLM‐based systems can produce text that is taken as contextually appropriate by humans without having seen text in its broader context. To understand how this is possible, context and co‐text have to be distinguished. Co‐text is input to LLMs during training and at inference as well as the primary resource of sense‐making ...
Ole Pütz
wiley   +1 more source

Occurrence of bornaviruses, circoviruses and polyomaviruses in necropsy samples from parrots in Poland (2014-2024). [PDF]

J Vet Res
Szotowska I, Ledwoń A.
europepmc   +1 more source

A Bio-Inspired Comprehensive Learning Strategy-Enhanced Parrot Optimizer: Performance Evaluation and Application to Reservoir Production Optimization. [PDF]

Biomimetics (Basel)
Yu B, Zhang Y.
europepmc   +1 more source

Name use by companion parrots. [PDF]

PLoS One
Benedict L, Groiss V, Hoeschele M, Reinisch E, Dahlin CR.   +4 more
europepmc   +1 more source

Online parrot trade as a source of psittacosis caused by a novel <i>Chlamydia psittaci</i> ST388. [PDF]

Front Microbiol
Yao W, Shi G, Song K, Wang L, Wu Z, Zhao Q, Chen Z, Kong Z, Wu B, Song Y.   +9 more
europepmc   +1 more source

Characterization and Comparative Analysis of Gut Microbiomes in Fourteen Parrot Species. [PDF]

Vet Sci
Park C, Kim H, Yoon J, Nam A.
europepmc   +1 more source