Distributed Planning of Multi-Agent Systems with Coupled Temporal Logic Specifications

2021 ◽  
Author(s):  
Ali Tevfik Büyükkoçak ◽  
Derya Aksaray ◽  
Yasin Yazicioglu
2021 ◽  
Author(s):  
Michał Kański ◽  
Artur Niewiadomski ◽  
Magdalena Kacprzak ◽  
Wojciech Penczek ◽  
Wojciech Nabiałek

In this paper, we deal with verification of multi-agent systems represented as concurrent game structures. To express properties to be verified, we use Alternating-Time Temporal Logic (ATL) formulas. We provide an implementation of symbolic model checking for ATL and preliminary, but encouraging experimental results.


Author(s):  
Jakub Michaliszyn ◽  
Piotr Witkowski

Epistemic Halpern-Shoham logic (EHS) is an interval temporal logic defined to verify properties of Multi-Agent Systems. In this paper we show that the model checking Multi-Agent Systems with regular expressions against the EHS specifications is decidable. We achieve this by reducing the model checking problem to the satisfiability problem of Monadic Second-Order Logic on trees.


Author(s):  
Alessandro Abate ◽  
Julian Gutierrez ◽  
Lewis Hammond ◽  
Paul Harrenstein ◽  
Marta Kwiatkowska ◽  
...  

AbstractWe provide a survey of the state of the art of rational verification: the problem of checking whether a given temporal logic formula ϕ is satisfied in some or all game-theoretic equilibria of a multi-agent system – that is, whether the system will exhibit the behavior ϕ represents under the assumption that agents within the system act rationally in pursuit of their preferences. After motivating and introducing the overall framework of rational verification, we discuss key results obtained in the past few years as well as relevant related work in logic, AI, and computer science.


Author(s):  
Francesco Belardinelli ◽  
Alessio Lomuscio ◽  
Vadim Malvone

We investigate the verification of Multi-agent Systems against strategic properties expressed in Alternating-time Temporal Logic under the assumptions of imperfect information and perfect recall. To this end, we develop a three-valued semantics for concurrent game structures upon which we define an abstraction method. We prove that concurrent game structures with imperfect information admit perfect information abstractions that preserve three-valued satisfaction. Further, we present a refinement procedure to deal with cases where the value of a specification is undefined. We illustrate the overall procedure in a variant of the Train Gate Controller scenario under imperfect information and perfect recall.


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