This paper focuses on the emergence of communication to support cooperation in environments modeled as social deduction games (SDG), that are games where players communicate freely to deduce each others' hidden intentions. We first state the problem by giving a general formalization of SDG and a possible solution framework based on reinforcement learning. Next, we focus on a specific SDG, known as The Werewolf, and study if and how various forms of communication influence the outcome of the game. Experimental results show that introducing a communication signal greatly increases the winning chances of a class of players. We also study the effect of the signal's length and range on the overall performance showing a non-linear relationship.

RLupus: cooperation through emergent communication in the werewolf social deduction game / Brandizzi, N.; Grossi, D.; Iocchi, L.. - In: INTELLIGENZA ARTIFICIALE. - ISSN 1724-8035. - 15:2(2021), pp. 55-70. [10.3233/IA-210081]

RLupus: cooperation through emergent communication in the werewolf social deduction game

Brandizzi N.;Iocchi L.
2021

Abstract

This paper focuses on the emergence of communication to support cooperation in environments modeled as social deduction games (SDG), that are games where players communicate freely to deduce each others' hidden intentions. We first state the problem by giving a general formalization of SDG and a possible solution framework based on reinforcement learning. Next, we focus on a specific SDG, known as The Werewolf, and study if and how various forms of communication influence the outcome of the game. Experimental results show that introducing a communication signal greatly increases the winning chances of a class of players. We also study the effect of the signal's length and range on the overall performance showing a non-linear relationship.
2021
deep reinforcement learning; emergent communication; Multi-Agent systems; social deduction games
01 Pubblicazione su rivista::01a Articolo in rivista
RLupus: cooperation through emergent communication in the werewolf social deduction game / Brandizzi, N.; Grossi, D.; Iocchi, L.. - In: INTELLIGENZA ARTIFICIALE. - ISSN 1724-8035. - 15:2(2021), pp. 55-70. [10.3233/IA-210081]
File allegati a questo prodotto
File Dimensione Formato  
Brandizzi_preprint_RLupus_2021.pdf

accesso aperto

Tipologia: Documento in Pre-print (manoscritto inviato all'editore, precedente alla peer review)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 501.67 kB
Formato Adobe PDF
501.67 kB Adobe PDF
Brandizzi_RLupus_2021.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 8.15 MB
Formato Adobe PDF
8.15 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1618078
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact