Combining quantitative and qualitative reasoning in concurrent multi-player games

Author:

Bulling Nils,Goranko ValentinORCID

Abstract

AbstractWe propose a general framework for modelling and formal reasoning about multi-agent systems and, in particular, multi-stage games where both quantitative and qualitative objectives and constraints are involved. Our models enrich concurrent game models with payoffs and guards on actions associated with each state of the model and propose a quantitative extension of the logic $${\textsf {ATL}}^{*}$$ ATL that enables the combination of quantitative and qualitative reasoning. We illustrate the framework with some detailed examples. Finally, we consider the model-checking problems arising in our framework and establish some general undecidability and decidability results for them.

Funder

Vetenskapsrådet

Stockholm University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

2. Max-SAT-based synthesis of optimal and Nash equilibrium strategies for multi-agent systems;Science of Computer Programming;2023-06

3. Synthesis of Cost-Optimal Multi-Agent Systems for Resource Allocation;Electronic Proceedings in Theoretical Computer Science;2022-09-19

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