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Petr Cermák

dblp:142/2539 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 2 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
3 papers
Automated reasoning and model checking · 42% Logic in computer science · 39% Algorithmic game theory and mechanism design · 19%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automated reasoning and model checking
model checking
0.732018
Practical verification of multi-agent systems against Slk specifications · Inf. Comput. 2018
Verifying and Synthesising Multi-Agent Systems against One-Goal Strategy Logic Specifications · AAAI 2015
MCMAS-SLK: A Model Checker for the Verification of Strategy Logic Specifications · CAV 2014
Logic in computer science › modal logic › game logic
strategy logic
0.732018
Practical verification of multi-agent systems against Slk specifications · Inf. Comput. 2018
Verifying and Synthesising Multi-Agent Systems against One-Goal Strategy Logic Specifications · AAAI 2015
MCMAS-SLK: A Model Checker for the Verification of Strategy Logic Specifications · CAV 2014
Algorithmic game theory and mechanism design
multi-agent systems
0.312018
Practical verification of multi-agent systems against Slk specifications · Inf. Comput. 2018
Logic in computer science
temporal logic
0.312018
Practical verification of multi-agent systems against Slk specifications · Inf. Comput. 2018
Automated reasoning and model checking › model checking
multi-agent system verification
0.212015
Verifying and Synthesising Multi-Agent Systems against One-Goal Strategy Logic Specifications · AAAI 2015
Automated reasoning and model checking
synthesis
0.212015
Verifying and Synthesising Multi-Agent Systems against One-Goal Strategy Logic Specifications · AAAI 2015

Methods — techniques the papers use, named apart from their topics

slk specifications · 0.3model checking · 0.2binary decision diagrams · 0.2automata-based methodology · 0.2
YearPublicationVenuePosition
2018 Practical verification of multi-agent systems against Slk specifications
Petr Cermák, Alessio Lomuscio, Fabio Mogavero, Aniello Murano
Inf. Comput.1
2015 Verifying and Synthesising Multi-Agent Systems against One-Goal Strategy Logic Specifications
abstract
Strategy Logic (SL) has recently come to the fore as a useful specification language to reason about multi-agent systems. Its one-goal fragment, or SL[1G], is of particular interest as it strictly subsumes widely used logics such as ATL*, while maintaining attractive complexity features. In this paper we put forward an automata-based methodology for verifying and synthesising multi-agent systems against specifications given in SL[1G]. We show that the algorithm is sound and optimal from a computational point of view. A key feature of the approach is that all data structures and operations on them can be performed on BDDs. We report on a BDD-based model checker implementing the algorithm and evaluate its performance on the fair process scheduler synthesis.
Petr Cermák, Alessio Lomuscio, Aniello Murano
AAAI1
2014 MCMAS-SLK: A Model Checker for the Verification of Strategy Logic Specifications
Petr Cermák, Alessio Lomuscio, Fabio Mogavero, Aniello Murano
CAV1