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https://dx.doi.org/10.1184/r1/...
Other literature type . 2008
Data sources: Datacite
https://dx.doi.org/10.48550/ar...
Article . 2014
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
https://dx.doi.org/10.1184/r1/...
Other literature type . 2008
Data sources: Datacite
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Differential Game Logic

Authors: André Platzer;
Abstract

Differential game logic (dG L ) is a logic for specifying and verifying properties of hybrid games , i.e., games that combine discrete, continuous, and adversarial dynamics. Unlike hybrid systems, hybrid games allow choices in the system dynamics to be resolved adversarially by different players with different objectives. The logic dG L can be used to study the existence of winning strategies for such hybrid games, i.e., ways of resolving the player’s choices in some way so that he wins by achieving his objective for all choices of the opponent. Hybrid games are determined, i.e., from each state, one player has a winning strategy, yet computing their winning regions may take transfinitely many steps. The logic dG L , nevertheless, has a sound and complete axiomatization relative to any expressive logic. Separating axioms are identified that distinguish hybrid games from hybrid systems. Finally, dG L is proved to be strictly more expressive than the corresponding logic of hybrid systems by characterizing the expressiveness of both.

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Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, F.3.1, F.4.1, FOS: Mathematics, 03F03, 03B70, 34A38, 91A25, 89999 Information and Computing Sciences not elsewhere classified, Mathematics - Logic, Logic (math.LO), Logic in Computer Science (cs.LO)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 10%
Green
bronze