Progress in the Simulation of Emergent Communication and Language

By K. Wagner, James A. Reggia, Juan Uriagereka, Gerald Wilkinson. 2003

192 citations recorded by the source corpus.

Subfields: Cultural Studies, Developmental Biology, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cultural Studies

1. Angeliki Lazaridou
2. Alex Peysakhovich
3. Serhii Havrylov
4. Ivan Titov
5. Karl Tuyls
6. Stephen Clark
7. Marco Baroni
8. Song-Chun Zhu

In Developmental Biology

1. Angeliki Lazaridou

In Sociology and Political Science

1. Alex Peysakhovich
2. Joel Z. Leibo
3. Serhii Havrylov
4. Marco Baroni
5. Song-Chun Zhu
6. Josh Tenenbaum
7. Marc Lanctot
8. Karl Tuyls

Citations in the corpus

• Multi-Agent Cooperation and the Emergence of (Natural) Language (2016, methodology): “We leverage ideas from work in linguistics, cognitive science and game theory on the emergence of language (Wagner et al., 2003; Skyrms, 2010; Crawford & Sobel, 1982; Crawford, 1998).”
• Emergent Communication through Negotiation (2018, background): “…requires coordination between multiple agents to solve, and some communication protocol for the agents to exchange messages through (see a review by Wagner et al. (2003) on earlier work on emergent communication as well as recent deep reinforcement learning methods by Foerster et al. (2016) and…”
• Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (2020, background): “By letting groups of agents play communication games spontaneously, several linguistic phenomena in emergent communication and language have been studied [438, 439, 440].”
• Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols (2017, background): “There is a long history of work on language emergence in multi-agent systems (Kirby, 2002; Wagner et al., 2003; Steels, 2005; Nolfi and Mirolli, 2009; Golland et al., 2010).”
• Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input (2018, background): “In line with previous work on emergent communication, we are strongly motivated by the view that language derives meaning from its use (Wittgenstein, 1953; Wagner et al., 2003).”
• Tracking the perspectives of interacting language models (2024, background): “Our work is closely related to simulating groups of computational agents to study sociological and cultural phenomena (Steels, 1990; Wagner et al., 2003) and to continual learning (Vogelstein et al., 2020; Geisa et al., 2021).”