TY - GEN
T1 - Strategic negotiations for extensive-form games
AU - de Jonge, Dave
AU - Zhang, Dongmo
PY - 2020
Y1 - 2020
N2 - When studying extensive-form games it is typically assumed that players make their decisions individually and that it is not possible for them to make formally binding agreements about future moves. As a consequence, many non-zero-sum games have been shown to have equilibria that are suboptimal and arguably counter-intuitive. For this reason we explore a new line of research in which game-playing agents are allowed to negotiate binding agreements. We analyze what happens under such assumptions and define a new equilibrium solution concept to capture this (the Negotiation Value). We show that the outcomes predicted by this new solution concept are more efficient than the Subgame Perfect Equilibrium and, therefore, arguably more realistic. Furthermore, we demonstrate experimentally that a bounded rational agent is able to approximate our solution concept in several games and that it strongly outperforms non-negotiating rational players.
AB - When studying extensive-form games it is typically assumed that players make their decisions individually and that it is not possible for them to make formally binding agreements about future moves. As a consequence, many non-zero-sum games have been shown to have equilibria that are suboptimal and arguably counter-intuitive. For this reason we explore a new line of research in which game-playing agents are allowed to negotiate binding agreements. We analyze what happens under such assumptions and define a new equilibrium solution concept to capture this (the Negotiation Value). We show that the outcomes predicted by this new solution concept are more efficient than the Subgame Perfect Equilibrium and, therefore, arguably more realistic. Furthermore, we demonstrate experimentally that a bounded rational agent is able to approximate our solution concept in several games and that it strongly outperforms non-negotiating rational players.
UR - https://hdl.handle.net/1959.7/uws:68468
UR - https://dl.acm.org/doi/pdf/10.5555/3398761.3399101
U2 - 10.5555/3398761.3399101
DO - 10.5555/3398761.3399101
M3 - Conference Paper
SN - 9781450375184
SP - 2134
EP - 2136
BT - AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, May 9-13, 2020, Auckland, New Zealand
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - International Conference on Autonomous Agents and Multiagent Systems
Y2 - 9 May 2022
ER -