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Graph games and reactive synthesis
Graph-based games are an important tool in computer science. They have applications in
synthesis, verification, refinement, and far beyond. We review graph-based games with …
synthesis, verification, refinement, and far beyond. We review graph-based games with …
Honeypot allocation for cyber deception under uncertainty
Cyber deception aims to misrepresent the state of the network to mislead the attackers,
falsify their reconnaissance conclusions, and deflect them away from their goals. Honeypots …
falsify their reconnaissance conclusions, and deflect them away from their goals. Honeypots …
Probabilistic ω-automata
Probabilistic ω-automata are variants of nondeterministic automata over infinite words where
all choices are resolved by probabilistic distributions. Acceptance of a run for an infinite input …
all choices are resolved by probabilistic distributions. Acceptance of a run for an infinite input …
Partial-observation stochastic games: How to win when belief fails
In two-player finite-state stochastic games of partial observation on graphs, in every state of
the graph, the players simultaneously choose an action, and their joint actions determine a …
the graph, the players simultaneously choose an action, and their joint actions determine a …
[PDF][PDF] Games with imperfect information: theory and algorithms.
We study observation-based strategies for two-player turnbased games played on graphs
with parity objectives. An observationbased strategy relies on imperfect information about …
with parity objectives. An observationbased strategy relies on imperfect information about …
Active diagnosis for probabilistic systems
The diagnosis problem amounts to deciding whether some specific “fault” event occurred or
not in a system, given the observations collected on a run of this system. This system is then …
not in a system, given the observations collected on a run of this system. This system is then …
Qualitative analysis of partially-observable Markov decision processes
We study observation-based strategies for partially-observable Markov decision processes
(POMDP s) with parity objectives. An observation-based strategy relies on partial information …
(POMDP s) with parity objectives. An observation-based strategy relies on partial information …
A survey of partial-observation stochastic parity games
We consider two-player zero-sum stochastic games on graphs with ω-regular winning
conditions specified as parity objectives. These games have applications in the design and …
conditions specified as parity objectives. These games have applications in the design and …
The complexity of partial-observation parity games
We consider two-player zero-sum games on graphs. On the basis of the information
available to the players these games can be classified as follows:(a) partial-observation …
available to the players these games can be classified as follows:(a) partial-observation …
Probabilistic modal {\mu}-calculus with independent product
M Mio - Logical Methods in Computer Science, 2012 - lmcs.episciences.org
The probabilistic modal μ-calculus is a fixed-point logic designed for expressing properties
of probabilistic labeled transition systems (PLTS's). Two equivalent semantics have been …
of probabilistic labeled transition systems (PLTS's). Two equivalent semantics have been …