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Quantitative Models and Implicit Complexity

机译:定量模型和隐含复杂性

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摘要

We give new proofs of soundness (all representable functions on base types lies in certain complexity classes) for Elementary Affine Logic, LFPL (a language for polytime computation close to realistic functional programming introduced by one of us), Light Affine Logic and Soft Affine Logic. The proofs are based on a common semantical framework which is merely instantiated in four different ways. The framework consists of an innovative modification of realizability which allows us to use resource-bounded computations as realisers as opposed to including all Turing computable functions as is usually the case in realizability constructions. For example, all realisers in the model for LFPL axe polynomi-ally bounded computations whence soundness holds by construction of the model. The work then lies in being able to interpret all the required constructs in the model. While being the first entirely semantical proof of polytime soundness for light logics, our proof also provides a notable simplification of the original already semantical proof of polytime soundness for LFPL. A new result made possible by the semantic framework is the addition of polymorphism and a modality to LFPL thus allowing for an internal definition of inductive datatypes.
机译:我们提供新的声音证明(基本类型的所有可代表功能在某些复杂性等级中)用于基本仿射逻辑,LFPL(用于靠近US中的逼真功能编程的多时间计算语言),光仿射逻辑和软仿射逻辑。证据基于公共语义框架,该框架仅以四种不同的方式实例化。该框架包括一种可实现性的创新修改,这允许我们使用资源有限的计算,作为确定性,而不是包括所有图灵可计算功能,通常是可实现的结构结构中的情况。例如,LFPL AX Polynomi-Ally有界计算模型中的所有确定者都通过模型的构造来保持何种声音。然后,该工作能够解释模型中的所有所需构造。虽然成为光线逻辑的第一个完全的语义证明,但我们的证明还提供了LFPL的原始数量声音的原始语义证明的显着简化。由语义框架可以实现的新结果是添加多态性和LFPL的模态,从而允许内部定义电感数据类型。

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