Characterizing Positionality in Games of Infinite Duration over Infinite Graphs
Pierre Ohlmann

TL;DR
This paper characterizes which payoff functions in infinite-duration, turn-based graph games allow for optimal positional strategies for the protagonist, using universal graphs and extending known results.
Contribution
It provides a new characterization of valuations with positional strategies over infinite graphs, unifies existing results, and introduces closure properties.
Findings
Valuations with universal graphs that are monotone and well-ordered are positional.
The converse holds for valuations with neutral colors.
The framework unifies and extends previous positionality results.
Abstract
We study turn-based quantitative games of infinite duration opposing two antagonistic players and played over graphs. This model is widely accepted as providing the adequate framework for formalizing the synthesis question for reactive systems. This important application motivates the question of strategy complexity: which valuations (or payoff functions) admit optimal positional strategies (without memory)? Valuations for which both players have optimal positional strategies have been characterized by Gimbert and Zielonka for finite graphs and by Colcombet and Niwi\'nski for infinite graphs. However, for reactive synthesis, existence of optimal positional strategies for the opponent (which models an antagonistic environment) is irrelevant. Despite this fact, not much is known about valuations for which the protagonist admits optimal positional strategies, regardless of the opponent. In…
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