activity
20112026
most citedReasoning About Strategies: On the Model-Checking Problem

59 citations · 68 across the 20 of their papers we have counts for

collaborators

22 papers

cs.FL2026

From Ramsey-Based to Congruence-Based Constructions for Büchi Complementation

Yih-Kuen Tsay, Moshe Y. Vardi

The very first construction by J. Richard Büchi himself for complementing a Büchi automaton relies on a fundamental lemma about the division of an arbitrary infinite word into cons…

cs.LO2026

The Stochastic Target Discounted-Sum Problem

Nathalie Bertrand, Pranav Ghorpade, Senthil Rajasekaran +2

The target discounted-sum problem (TDS) asks, given a finite integer alphabet , a rational discount factor , and a rational target , whether some infinite sequence over $Σ…

cs.AI2026

Categorizer Automata for Discounted-Sum Payoffs

Nathalie Bertrand, Pranav Ghorpade, Senthil Rajasekaran +2

Categorizing continuous data into discrete bins is a fundamental operation in artificial intelligence. We introduce the categorizer automaton, a deterministic automaton that reads…

cs.GT2026

Modeling Concurrent Multi-Agent Systems

Senthil Rajasekaran, Moshe Y. Vardi

Recent work in the field of multi-agent systems has sought to use techniques and concepts from the field of formal methods to provide rigorous theoretical analysis and guarantees o…

cs.AI2026

TIDE: A Trace-Informed Depth-First Exploration for Planning with Temporally Extended Goals

Yuliia Suprun, Khen Elimelech, Lydia E. Kavraki +1

Task planning with temporally extended goals (TEGs) is a critical challenge in AI and robotics, enabling agents to achieve complex sequences of objectives over time rather than add…

cs.SC2025

Dynamic Boolean Synthesis with Zero-suppressed Decision Diagrams

Yi Lin, Moshe Y. Vardi

Motivated by functional synthesis in sequential circuit construction and quantified boolean formulas (QBF), boolean synthesis serves as one of the core problems in Formal Methods.…

cs.LO2025

Thinking Out of the Box: Hybrid SAT Solving by Unconstrained Continuous Optimization

Zhiwei Zhang, Samy Wu Fung, Anastasios Kyrillidis +2

The Boolean satisfiability (SAT) problem lies at the core of many applications in combinatorial optimization, software verification, cryptography, and machine learning. While state…

cs.GT2025

Verifying Equilibria in Finite-Horizon Probabilistic Concurrent Game Systems

Senthil Rajasekaran, Moshe Y. Vardi

Finite-horizon probabilistic multiagent concurrent game systems, also known as finite multiplayer stochastic games, are a well-studied model in computer science due to their abilit…

cs.RO2024

Falsification of Autonomous Systems in Rich Environments

Khen Elimelech, Morteza Lahijanian, Lydia E. Kavraki +1

Validating the behavior of autonomous Cyber-Physical Systems (CPS) and Artificial Intelligence (AI) agents, which rely on automated controllers, is an objective of great importance…

cs.RO2024

Encoding Reusable Multi-Robot Planning Strategies as Abstract Hypergraphs

Khen Elimelech, James Motes, Marco Morales +3

Multi-Robot Task Planning (MR-TP) is the search for a discrete-action plan a team of robots should take to complete a task. The complexity of such problems scales exponentially wit…

cs.FL2024

Dynamic Programming for Symbolic Boolean Realizability and Synthesis

Yi Lin, Lucas M. Tabajara, Moshe Y. Vardi

Inspired by recent progress in dynamic programming approaches for weighted model counting, we investigate a dynamic-programming approach in the context of boolean realizability and…

cs.RO2024

Stochastic Games for Interactive Manipulation Domains

Karan Muvvala, Andrew M. Wells, Morteza Lahijanian +2

As robots become more prevalent, the complexity of robot-robot, robot-human, and robot-environment interactions increases. In these interactions, a robot needs to consider not only…

cs.FL2023★ 2 cited

Model Checking Strategies from Synthesis Over Finite Traces

Suguman Bansal, Yong Li, Lucas Martinelli Tabajara +2

The innovations in reactive synthesis from {\em Linear Temporal Logics over finite traces} (LTLf) will be amplified by the ability to verify the correctness of the strategies gener…

cs.AI2022★ 1 cited

Synthesis from Satisficing and Temporal Goals

Suguman Bansal, Lydia Kavraki, Moshe Y. Vardi +1

Reactive synthesis from high-level specifications that combine hard constraints expressed in Linear Temporal Logic LTL with soft constraints expressed by discounted-sum (DS) reward…

cs.LO2022

DPER: Dynamic Programming for Exist-Random Stochastic SAT

Vu H. N. Phan, Moshe Y. Vardi

In Bayesian inference, the maximum a posteriori (MAP) problem combines the most probable explanation (MPE) and marginalization (MAR) problems. The counterpart in propositional logi…

cs.LO2022

DPO: Dynamic-Programming Optimization on Hybrid Constraints

Vu H. N. Phan, Moshe Y. Vardi

In Bayesian inference, the most probable explanation (MPE) problem requests a variable instantiation with the highest probability given some evidence. Since a Bayesian network can…

cs.GT2022★ 1 cited

Verification and Realizability in Finite-Horizon Multiagent Systems

Senthil Rajasekaran, Moshe Y. Vardi

The problems of \emph{verification} and \emph{realizability} are two central themes in the analysis of reactive systems. When multiagent systems are considered, these problems have…

cs.FL2021

On the Power of Finite Ambiguity in Büchi Complementation

Weizhi Feng, Yong Li, Andrea Turrini +2

In this work, we exploit the power of \emph{finite ambiguity} for the complementation problem of Büchi automata by using reduced run directed acyclic graphs (DAGs) over infinite wo…

cs.FL2021

Congruence Relations for Büchi Automata

Yong Li, Yih-Kuen Tsay, Andrea Turrini +2

We revisit here congruence relations for Büchi automata, which play a central role in the automata-based verification. The size of the classical congruence relation is in $3^{\math…

cs.LG2020★ 1 cited

Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models

Marcio Nicolau, Anderson R. Tavares, Zhiwei Zhang +4

Computational learning theory states that many classes of boolean formulas are learnable in polynomial time. This paper addresses the understudied subject of how, in practice, such…

cs.FL2020★ 4 cited

On the Power of Automata Minimization in Reactive Synthesis

Shufang Zhu, Lucas M. Tabajara, Geguang Pu +1

Temporal logic is often used to describe temporal properties in AI applications. The most popular language for doing so is Linear Temporal Logic (LTL). Recently, LTL on finite trac…

cs.LO2011★ 59 cited

Reasoning About Strategies: On the Model-Checking Problem

Fabio Mogavero, Aniello Murano, Giuseppe Perelli +1

In open systems verification, to formally check for reliability, one needs an appropriate formalism to model the interaction between agents and express the correctness of the syste…