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Evaluation Strategy and Translation of Environment Calculus

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Information Computing and Applications (ICICA 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 391))

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Abstract

The environment is one of the execution states in programming language processors. The first-class environment is a reflective programming facility which enables us to use meta-level environments as object-level entities, and inversely, to use the object-level environments as meta-level entities. We named a lambda calculus with first-class environments the environment calculus, and studied various systems of the environment calculus. PCF (Programming Computable Functions) is a simply typed lambda calculus with natural numbers, Boolean values, and recursive operators, which was proposed as a formal framework for the semantical study of evaluation strategies.In this paper, we introduce an extended system of PCF with first-class environments and study evaluation strategies, such as call-by-name and call-by-value strategies.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Tokyo Institute of Technology, Japan

    Shin-ya Nishizaki

Authors
  1. Shin-ya Nishizaki
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Editors and Affiliations

  1. Shanghai Jiao Tong University, 800 Dongchuan Road, Dianxinqunlou 1-401, 200240, Shanghai, China

    Yuhang Yang

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore, Singapore

    Maode Ma

  3. College of Science, Hebei United University, 063009, Tangshan, Hebei, China

    Baoxiang Liu

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Nishizaki, Sy. (2013). Evaluation Strategy and Translation of Environment Calculus. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53932-9_23

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  • DOI: https://doi.org/10.1007/978-3-642-53932-9_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53931-2

  • Online ISBN: 978-3-642-53932-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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