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arXiv 1407.5166cs.LO
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认知$μ$ -微积分的表达能力

The Expressive Power of Epistemic $μ$-Calculus

Cătălin Dima, Bastien Maubert, Sophie Pinchinat

摘要:

虽然$μ$演算臭名昭著地包含交替时间时序逻辑(ATL),我们发现,认知$μ$演算不submergentATL与不完美的信息(ATL $_i$)的同步完美召回语义。为了证明这一点,我们首先建立跳跃奇偶校验树自动机(JTA),最近推出的交替奇偶校验树自动机的扩展,表示等价于认知$μ$ -演算,这对任何知识语义。利用这一结果,我们还表明,对于有界记忆语义,认知$μ$演算是不是比标准的$μ$演算更有表现力,它的可满足性问题是EXPTIME完全的。

英文摘要:

While the $μ$-calculus notoriously subsumes Alternating-time Temporal Logic (ATL), we show that the epistemic $μ$-calculus does not subsume ATL with imperfect information (ATL$_i$) for the synchronous perfect-recall semantics. To prove this we first establish that jumping parity tree automata (JTA), a recently introduced extension of alternating parity tree automata, are expressively equivalent to the epistemic $μ$-calculus, and this for any knowledge semantics. Using this result we also show that, for bounded-memory semantics, the epistemic $μ$-calculus is not more expressive than the standard $μ$-calculus, and that its satisfiability problem is EXPTIME-complete.

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