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Communication is a prerequisite for collaboration.
Intelligent agents: Theory and practice
Michael Wooldridge and Nicholas R Jennings · 1995
Earlier work this paper cites.
How to build and use agent-based models in social science
Nigel Gilbert and Pietro Terna · 2000
Earlier work this paper cites.
The semantic web
Tim Berners-Lee, James Hendler, and Ora Lassila · 2001
Earlier work this paper cites.
Agency and deontic logic
John F Horty · 2001
Earlier work this paper cites.
Conceptual modeling of information systems
Antoni Olivé · 2007
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An introduction to multiagent systems
Michael Wooldridge · 2009
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Rdf 1.1 turtle
David Beckett, Tim Berners-Lee, Eric Prud’hommeaux, and Gavin Carothers · 2014
Earlier work this paper cites.
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Juan Benet · 2014
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Artificial intelligence: a modern approach
Stuart J Russell and Peter Norvig · 2016
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Deep reinforcement learning: A brief survey
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Emergence of language with multi-agent games: Learning to communicate with sequences of symbols
Serhii Havrylov and Ivan Titov · 2017
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Earlier work this paper cites.
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Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, and David Meger · 2018
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Emergence of linguistic communication from referential games with symbolic and pixel input
Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, and Stephen Clark · 2018
Earlier work this paper cites.
Reinforcement learning: An introduction
Richard S Sutton · 2018
Earlier work this paper cites.
Anti-efficient encoding in emergent communication
Rahma Chaabouni, Eugene Kharitonov, Emmanuel Dupoux, and Marco Baroni · 2019
Earlier work this paper cites.
Agent-based models
Nigel Gilbert · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, et al · 2020
Earlier work this paper cites.
Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
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Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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