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Analysis of the Pareto equilibrium in multi-objective games using semi-tensor product

Authors: Fanyueyang ZHANG; Jun’e FENG

DOI: 10.1631/FITEE_2400945Status: Verified Translated Edition
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Key Findings in This Report

• STP-based algebraic formulation converts vector payoff functions of multi-objective games into a tractable algebraic form, enabling rigorous equilibrium analysis. • Two necessary and sufficient conditions are derived to verify whether all players meet their expectations and whether a strategy profile is a Pareto equilibrium. • A strategy updating rule is designed to analyze finite-step reachability of evolutionary multi-objective games, providing a dynamic perspective on equilibrium attainment. • Finite-step controllability is achieved by introducing pseudo-players, and a backward search algorithm identifies the shortest evolutionary process and control sequence.