Contract-Based Distributed Synthesis in Two-Objective Parity Games: A Novel Approach

核心概念

The author presents a novel contract-based synthesis framework for distributed logical controllers in two-objective parity games, emphasizing the importance of permissive templates. The approach allows for efficient, sound, and complete negotiation processes.

摘要

The content introduces a contract-based synthesis framework for distributed logical controllers in two-objective parity games. It highlights the significance of permissive templates in enabling efficient negotiation mechanisms. The proposed approach aims to provide sound and complete solutions to distributed synthesis problems by locally co-synthesizing contracts and controllers.

The framework relies on the concept of permissive templates to collect an infinite number of controller candidates efficiently. It emphasizes adaptability, computability, and compositionality to achieve an effective negotiation process for contract-based distributed logical control.

By comparing their prototype tool CoSMo with existing tools on a robot motion planning benchmark suite, the authors showcase the superior performance of their approach. The content delves into examples illustrating how strategy templates can be composed and adapted flexibly to meet changing requirements in complex systems.

統計資料

We consider the problem of computing distributed logical controllers for two interacting system components.
Our framework relies on permissive templates that collect an infinite number of controller candidates efficiently.
The proposed negotiation mechanism refines candidates until a solution is found.
The authors showcase the superior performance of their approach through comparisons with existing tools.
Strategy templates are composable and allow for robust control implementation under various scenarios.

引述

"The main contribution of this paper is a new algorithm to solve two-objective parity games arising from distributed logical control problems."
"Our framework relies on the concept of permissive templates which collect an infinite number of controller candidates efficiently."

從以下內容提煉的關鍵洞見

Contract-Based Distributed Synthesis in Two-Objective Parity Games

by Ashwani Anan... 於 arxiv.org 03-08-2024

https://arxiv.org/pdf/2307.06212.pdf

深入探究

How does decentralized computation enhance privacy in contract-based synthesis

Decentralized computation enhances privacy in contract-based synthesis by allowing each component to compute its own controller locally without the need to share sensitive information with a central entity. In a decentralized setting, components can maintain control over their specifications and strategy choices, reducing the risk of exposing confidential data or proprietary algorithms to other parties. By computing controllers independently, each component can ensure that only necessary information is shared during negotiation rounds, enhancing privacy and confidentiality in the contract-based synthesis process.

What are the implications of using permissive templates for negotiating contracts locally

Using permissive templates for negotiating contracts locally offers several implications. Firstly, permissive templates allow for an infinite number of controller candidates to be collected in a concise data structure, providing flexibility in choosing strategies while maintaining efficiency in computation. This adaptability enables components to negotiate contracts iteratively until a solution is found without compromising on completeness or soundness. Additionally, permissive templates facilitate easy compositionality and adaptability of strategies, making it simpler to handle conflicts and resolve issues during negotiations between different components.

How can strategy templates be effectively adapted to address unforeseen circumstances

Strategy templates can be effectively adapted to address unforeseen circumstances by leveraging their composability and flexibility features. When faced with new requirements or unexpected events, components can synthesize additional strategy templates specific to these situations independently from existing ones. These new templates can then be composed with existing ones through simple conjunctions or modifications based on the updated objectives or assumptions. This adaptability allows for quick adjustments in strategy choices without having to redesign the entire control system, ensuring robust performance even under changing conditions.