activity
20112016
most citedAlternating-time temporal logic with finite-memory strategies

7 citations · 13 across the 5 of their papers we have counts for

collaborators

7 papers

cs.GT2016

Winning Cores in Parity Games

Steen Vester

We introduce the novel notion of winning cores in parity games and develop a deterministic polynomial-time under-approximation algorithm for solving parity games based on winning c…

cs.DC2016

Distributed Synthesis in Continuous Time

Holger Hermanns, Jan Krčál, Steen Vester

We introduce a formalism modelling communication of distributed agents strictly in continuous-time. Within this framework, we study the problem of synthesising local strategies for…

cs.LO2014★ 4 cited

Model-checking Quantitative Alternating-time Temporal Logic on One-counter Game Models

Steen Vester

We consider quantitative extensions of the alternating-time temporal logics ATL/ATLs called quantitative alternating-time temporal logics (QATL/QATLs) in which the value of a count…

cs.GT2014★ 2 cited

Nash Equilibria in Symmetric Games with Partial Observation

Patricia Bouyer, Nicolas Markey, Steen Vester

We investigate a model for representing large multiplayer games, which satisfy strong symmetry properties. This model is made of multiple copies of an arena; each player plays in h…

cs.GT2013★ 7 cited

Alternating-time temporal logic with finite-memory strategies

Steen Vester

Model-checking the alternating-time temporal logics ATL and ATL* with incomplete information is undecidable for perfect recall semantics. However, when restricting to memoryless st…

cs.MA2012

Multi-Agent Programming Contest 2012 - The Python-DTU Team

Jørgen Villadsen, Andreas Schmidt Jensen, Mikko Berggren Ettienne +3

We provide a brief description of the Python-DTU system, including the overall design, the tools and the algorithms that we plan to use in the agent contest.

cs.MA2011

Multi-Agent Programming Contest 2011 - The Python-DTU Team

Jørgen Villadsen, Mikko Berggren Ettienne, Steen Vester

We provide a brief description of the Python-DTU system, including the overall design, the tools and the algorithms that we plan to use in the agent contest.