TY - GEN
T1 - On the Emergence of Fairness in the Evolutionary Dictator Game with Edge Weight Learning
AU - O'Riordan, Evan
AU - Glavin, Frank G.
AU - O'Riordan, Colm
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Ultimatum Game (UG) is an abstraction of common human interactions. In the UG, two players split a resource by proposing and responding to deals. The Dictator Game is a simplified and constrained form of the UG where deals may not be rejected. In this paper, in an evolutionary spatial Dictator Game, a form of Edge Weight Learning that allows players to react to the strategies of their neighbours is proposed. Edge weights directly influence the likelihood of a recipient to decide to not interact with a dictator neighbour, punishing exploitative, greedier neighbours and rewarding cooperative, fairer neighbours. Through experimentation with environmental parameters such as the rate of edge weight modification and the rate of evolutionary phases, it is shown that this process inspired by edge weight learning may serve as a catalyst for the emergence of fairness in the evolutionary Dictator Game.
AB - The Ultimatum Game (UG) is an abstraction of common human interactions. In the UG, two players split a resource by proposing and responding to deals. The Dictator Game is a simplified and constrained form of the UG where deals may not be rejected. In this paper, in an evolutionary spatial Dictator Game, a form of Edge Weight Learning that allows players to react to the strategies of their neighbours is proposed. Edge weights directly influence the likelihood of a recipient to decide to not interact with a dictator neighbour, punishing exploitative, greedier neighbours and rewarding cooperative, fairer neighbours. Through experimentation with environmental parameters such as the rate of edge weight modification and the rate of evolutionary phases, it is shown that this process inspired by edge weight learning may serve as a catalyst for the emergence of fairness in the evolutionary Dictator Game.
KW - Dictator game
KW - edge weight learning
KW - environmental parameters
KW - evolutionary
KW - fairness
KW - Ultimatum game
UR - https://www.scopus.com/pages/publications/85189942490
U2 - 10.1109/AICS60730.2023.10470620
DO - 10.1109/AICS60730.2023.10470620
M3 - Conference Publication
AN - SCOPUS:85189942490
T3 - 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023
BT - 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023
Y2 - 7 December 2023 through 8 December 2023
ER -