Nash Equilibria in Finite-Horizon Multiagent Concurrent Games

01/03/2021
by   Senthil Rajasekaran, et al.
0

The problem of finding pure strategy Nash equilibria in multiagent concurrent games with finite-horizon temporal goals has received some recent attention. Earlier work solved this problem through the use of Rabin automata. In this work, we take advantage of the finite-horizon nature of the agents' goals and show that checking for and finding pure strategy Nash equilibria can be done using a combination of safety games and lasso testing in Büchi automata. To separate strategic reasoning from temporal reasoning, we model agents' goals by deterministic finite-word automata (DFAs), since finite-horizon logics such as LTLf and LDLf are reasoned about through conversion to equivalent DFAs. This allow us characterize the complexity of the problem as PSPACE complete.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/02/2022

Verification and Realizability in Finite-Horizon Multiagent Systems

The problems of verification and realizability are two central themes in...
research
08/13/2020

Multi-Player Games with LDL Goals over Finite Traces

Linear Dynamic Logic on finite traces LDLf is a powerful logic for reaso...
research
05/01/2023

Multi-Agent Systems with Quantitative Satisficing Goals

In the study of reactive systems, qualitative properties are usually eas...
research
08/11/2020

Automatic Verification of Concurrent Stochastic Systems

Automated verification techniques for stochastic games allow formal reas...
research
11/17/2018

Equilibria-based Probabilistic Model Checking for Concurrent Stochastic Games

Probabilistic model checking for stochastic games enables formal verific...
research
03/07/2018

Aspiration-based Perturbed Learning Automata

This paper introduces a novel payoff-based learning scheme for distribut...
research
03/15/2020

Adaptive Bet-Hedging Revisited: Considerations of Risk and Time Horizon

Models of adaptive bet-hedging commonly adopt insights from Kelly's famo...

Please sign up or login with your details

Forgot password? Click here to reset