Behavioral programming, decentralized control, and multiple time scales

D. Harel, Assaf Marron, G. Wiener, Gera Weiss
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引用次数: 23

Abstract

Behavioral programming is a recently proposed approach for non-intrusive incremental software development. We propose that behavioral programming concepts, such as behavioral decomposition, synchronized execution of independent behaviors, and event blocking, can help in the incremental and natural coding of complex decentralized systems, complementing actor-oriented and agent-oriented approaches. We also contribute to the existing research on behavioral programming a method for coordinating behaviorally-programmed components which, due to different time scales or interaction with the external environment, cannot synchronize and thus cannot employ event blocking. We show that the resulting decentralized system retains many of the advantages present in a purely behavioral, fully synchronized system.
行为编程,分散控制和多时间尺度
行为编程是最近提出的一种非侵入式增量软件开发方法。我们提出行为编程概念,如行为分解、独立行为的同步执行和事件阻塞,可以帮助复杂分散系统的增量和自然编码,补充面向参与者和面向代理的方法。我们还对行为编程的现有研究做出了贡献,这是一种协调行为编程组件的方法,由于不同的时间尺度或与外部环境的交互,这些组件不能同步,因此不能使用事件阻塞。我们表明,由此产生的去中心化系统保留了纯行为的、完全同步的系统中存在的许多优点。
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