Machine behaviour

By Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh C. Bongard, Jean‐François Bonnefon, Cynthia Lynn Breazeal, Jacob William Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson and 13 more. Nature, 2019

1,247 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Information Systems, Safety Research

View Paper: https://www.semanticscholar.org/paper/84f21d04b1c2a9541cd463f352fa7330d28a711f

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Citations in the corpus

Testing theory of mind in large language models and humans (2024, background): “In the service of the broader multidisciplinary study of machine behaviour 28 , there have been recent calls for a ‘machine psychology’ 29 that have argued for using tools and paradigms from experimental psychology to systematically investigate the capacities and limits of LLMs 30 .”
Artificial Intelligence and Management: The Automation–Augmentation Paradox (2020, background): “These differences lead to entirely new machine behaviors (Rahwan et al., 2019).”
“Alexa, order me a pizza!”: The mediating role of psychological power in the consumer–voice assistant interaction (2021, background): “…to improve and create seamless and frictionless customer experiences with VAs be that through improving emotional connections (Chung et al., 2018), sensorial experiences (Mishra et al., 2020), engagement (Moriuchi, 2019), trust (Pitardi & Marriott, 2021), or companionship (Ramadan et al., 2021).”
Vision, challenges, roles and research issues of Artificial Intelligence in Education (2020, background): “Topics related to human-arti ﬁ cial congition such as machine behavior (Rahwan et al., 2019), cognitive of ﬂ oading (Risko & Gilbert, 2016), and new de ﬁ nitions of cognition (Bayne et al., 2019) are particularly relevat to study as the role of AI in education is growing in signi ﬁ cance.”
Quo vadis artificial intelligence? (2022, background): “An autonomous system is a group of components forming a unified whole with the power of acting independently from the external environment [77, 78].”
On scientific understanding with artificial intelligence (2022, background): “[102] Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W Crandall, Nicholas A Christakis, Iain D Couzin, Matthew O Jackson, et al.”
Transparency and trust in artificial intelligence systems (2020, background): “Such glitches in human-machine interaction could have detrimental consequences on the societal level (Rahwan et al., 2019).”
Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory (2020, neutral): “Furthermore, AI may even shape human behavior in the future [17].”