SHF: Medium: Collaborative Research: Formal Analysis and Synthesis of Multiagent Systems with Incentives

SHF：媒介：协作研究：带激励的多智能体系统的形式分析与综合

• 批准号: 1704883
• 负责人: Moshe Vardi
• 金额: $ 80万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1704883&HistoricalAwards=false
• 关键词: SHF; Medium; Collaborative; Research; Formal

The project develops automated methods for the tool-aided design and analysis of multi-agent systems with incentives. These systems are natural models for real-world situations in which collections of actors interact with one another in an autonomous and self-interested manner. For example, such a system can model a set of software agents that participate in an internet-based protocol, such as an advertisement auction or crypto currency; a collection of robots that share physical or digital infrastructure; or a set of cells that participate in an evolutionary process. The project combines game-theoretic and logical methods to develop techniques for formal modeling, analysis, verification, and synthesis of such systems. The end objectives of the project include reliable engineering of protocols that govern interactions among autonomous agents, and computer-aided understanding of naturally occurring game-theoretic interactions.The technical approach of the project has three dimensions. The first is the development of new formal models, correctness requirements, and abstraction and reasoning principles for multi-agent systems with incentives. Research directions include richer notions of equilibria in multi-agent systems, and effects of interaction and randomization on equilibria. Second, the project studies algorithmic tools for analysis and verification of multi-agent systems with incentives with respect to desired requirements regarding system behaviors and equilibria. The third direction is to automatically synthesize mechanisms so as to guarantee desired properties. Applications from a range of areas, including financial protocols, robotics, and biology, are used to guide and evaluate the research.

该项目开发的工具辅助设计和分析的多智能体系统的激励自动化方法。这些系统是真实世界情况的自然模型，在真实世界中，参与者的集合以自主和利己的方式相互作用。例如，这样的系统可以模拟一组参与基于互联网的协议的软件代理，例如广告拍卖或加密货币;共享物理或数字基础设施的机器人集合;或者参与进化过程的一组细胞。该项目结合了博弈论和逻辑方法来开发正式建模，分析，验证和合成此类系统的技术。该项目的最终目标包括管理自主代理之间的交互的协议的可靠工程，以及自然发生的博弈论交互的计算机辅助理解。第一个是新的形式化模型，正确性要求，抽象和推理原则的多代理系统的激励。研究方向包括多智能体系统中更丰富的平衡概念，以及交互和随机化对平衡的影响。第二，该项目研究的算法工具，用于分析和验证多代理系统的激励与所需的要求，有关系统的行为和平衡。第三个方向是自动合成机构，以保证所需的性能。来自一系列领域的应用程序，包括金融协议，机器人和生物学，用于指导和评估研究。

项目成果

Synthesis from Satisficing and Temporal Goals

从满意目标和暂时目标综合

• DOI: 10.1609/aaai.v36i9.21202
• 发表时间: 2022
• 期刊: Proceedings of the AAAI Conference on Artificial Intelligence
• 作者: Bansal, Suguman;Kavraki, Lydia;Vardi, Moshe Y.;Wells, Andrew
• 通讯作者: Wells, Andrew

Divide-and-Conquer Determinization of Büchi Automata Based on SCC Decomposition

基于SCC分解的Büchi自动机分而治之确定

• 发表时间: 2022
• 期刊: Book cover Book cover International Conference on Computer Aided Verification
• 作者: Yong Li, Andrea Turrini

Satisfiability checking for Mission-time LTL (MLTL)

任务时间零担 (MLTL) 的满意度检查

• DOI: 10.1016/j.ic.2022.104923
• 发表时间: 2022
• 期刊: Information and Computation
• 影响因子: 1
• 作者: Li, Jianwen;Vardi, Moshe Y.;Rozier, Kristin Y.
• 通讯作者: Rozier, Kristin Y.

Verification and Realizability in Finite-Horizon Multiagent Systems

有限视野多智能体系统的验证和可实现性

• DOI: 10.24963/kr.2022/28
• 发表时间: 2022
• 期刊: Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning
• 作者: Rajasekaran, Senthil;Vardi, Moshe Y.
• 通讯作者: Vardi, Moshe Y.

utomating Mechanism Design with Program Synthesis

通过程序综合实现机构设计自动化

• 发表时间: 2022
• 期刊: Proc. Automated Learning Agents Workshop
• 作者: Narayanasamy, Sai Kiran