Poset Positional Games: A Generalized Framework for Combinatorial Games with Move Restrictions

Centrala begrepp

Poset positional games are a generalization of standard positional games that incorporate additional restrictions on the order in which board elements can be claimed. This framework enables the study of games like Connect-4 within the positional game setting.

Sammanfattning

The content introduces poset positional games, which are a generalization of standard positional games. In a poset positional game, the board elements are structured by a partial order (a poset), and players can only claim an element if all its predecessors in the poset have already been claimed.

The key highlights and insights are:

1. Poset positional games extend the standard positional game framework by incorporating a poset structure on the board elements, which restricts the available moves.
2. The authors analyze the complexity of determining the game outcome in poset positional games, focusing on the Maker-Breaker convention.
3. The complexity of the problem depends on parameters of the poset, such as its height and width, as well as the structure of the winning sets.
4. For posets of height 2 with winning sets of size 1, the problem can be solved in polynomial time. However, for height 3 and a single winning set of size 1, the problem becomes NP-hard.
5. For posets of bounded width, the problem is PSPACE-complete even when the winning sets are of size 3. But it becomes polynomial-time solvable when both the width of the poset and the number of winning sets are bounded.
6. The authors also consider the case where the poset is a union of disjoint chains, which generalizes the game of Connect-4.

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Poset Positional Games

by Guil... på arxiv.org 04-12-2024

https://arxiv.org/pdf/2404.07700.pdf

Djupare frågor

What other restrictions on the poset structure or the winning sets could lead to tractable or intractable instances of the poset positional game problem

Restrictions on the poset structure or the winning sets that could lead to tractable instances of the poset positional game problem include:

Height of the Poset: Limiting the height of the poset can make the game more manageable. For example, instances with a height of 1 are known to be polynomial, while instances with a height of 2 can be NP-hard.
Width of the Poset: For width 1 posets, the game is completely determined and polynomial. However, for width 2 posets, the problem becomes PSPACE-hard, even with small winning sets.
Specific Winning Set Configurations: Certain configurations of winning sets, such as having all winning sets of size 1 or having a unique winning set, can lead to polynomial-time solutions.

How could the insights from the analysis of poset positional games be applied to the study of other combinatorial games with move restrictions, beyond the Maker-Breaker convention

Insights from the analysis of poset positional games can be applied to other combinatorial games with move restrictions in the following ways:

Algorithm Design: The dynamic programming approach used in analyzing poset positional games can be applied to other games with move restrictions to determine winning strategies efficiently.
Complexity Analysis: Understanding the complexity of determining game outcomes based on different parameters can help in analyzing similar games and predicting their computational complexity.
Strategy Development: Strategies developed for poset positional games, especially in the Maker-Breaker convention, can be adapted and applied to other games with similar constraints to optimize gameplay.

Are there any real-world applications or practical implications of the poset positional game framework that could be explored further

Real-world applications and practical implications of the poset positional game framework include:

Resource Allocation: The framework can be used to model scenarios where resources need to be allocated based on certain constraints and priorities, helping in decision-making processes.
Network Routing: In networking, the concept of posets can be applied to optimize routing paths and traffic flow, considering restrictions and priorities in data transmission.
Supply Chain Management: The framework can be utilized in supply chain optimization to determine the most efficient flow of goods and resources through a network of suppliers, manufacturers, and distributors, considering various constraints and dependencies.