paper-with-me

홈 › Papers

Trust-ya: design of a multiplayer game for the study of small group processes

2021-09-09 · Jerry Huang, Joshua Jung, Neil Budnarain, Benn McGregor, Jesse Hoey

This paper presents the design of a cooperative multi-player betting game, Trust-ya, as a model of some elements of status processes in human groups. The game is designed to elicit status-driven leader-follower behaviours as a means to observe and influence social hierarchy. It involves a Bach/Stravinsky game of deference in a group, in which people on each turn can either invest with another player or hope someone invests with them. Players who receive investment capital are able to gamble for payoffs from a central pool which then can be shared back with those who invested (but a portion of it may be kept, including all of it). The bigger gambles (people with more investors) get bigger payoffs. Thus, there is a natural tendency for players to coalesce as investors around a 'leader' who gambles, but who also shares sufficiently from their winnings to keep the investors 'hanging on'. The 'leader' will want to keep as much as possible for themselves, however. The game is played anonymously, but a set of 'status symbols' can be purchased which have no value in the game itself, but can serve as a 'cheap talk' communication device with other players. This paper introduces the game, relates it to status theory in social psychology, and shows some simple simulated and human experiments that demonstrate how the game can be used to study status processes and dynamics in human groups.

📄 PDF Abstract BibTeX arXiv:2109.04037

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games

2020-01-01 · ICML 2020 1 · Youzhi Zhang, Bo An

Efficiently computing equilibria for multiplayer games is still an open challenge in computational game theory. This paper focuses on computing Team-Maxmin Equilibria (TMEs), which is an important solution concept for ze…

GRATR: Zero-Shot Evidence Graph Retrieval-Augmented Trustworthiness Reasoning

2024-08-22 · Ying Zhu, Shengchang Li, Ziqian Kong, Qiang Yang 외

Trustworthiness reasoning aims to enable agents in multiplayer games with incomplete information to identify potential allies and adversaries, thereby enhancing decision-making. In this paper, we introduce the graph retr…

Decision MakingHallucinationRAGRetrieval

Collusion Detection in Team-Based Multiplayer Games

2022-03-10 · Laura Greige, Fernando De Mesentier Silva, Meredith Trotter, Chris Lawrence 외

In the context of competitive multiplayer games, collusion happens when two or more teams decide to collaborate towards a common goal, with the intention of gaining an unfair advantage from this cooperation. The task of …

Parallel Algorithm for Approximating Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning

2019-10-01 · Sam Ganzfried, Conner Laughlin, Charles Morefield

Many real-world domains contain multiple agents behaving strategically with probabilistic transitions and uncertain (potentially infinite) duration. Such settings can be modeled as stochastic games. While algorithms have…

Study and Improvement of Search Algorithms in Multi-Player Perfect-Information Games

2026-04-19 · Quentin Cohen-Solal arxiv

In this article, we generalize Unbounded Minimax, the state-of-the-art search algorithm for zero sums two-player games with perfect information to the framework of multiplayer games with perfect information. We experimen…