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Agent-oriented Programming in Defence Domain

机译:防御领域中面向代理的编程

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摘要

Research in distributed artificial intelligence has given rise to agent-oriented programming (AOP), an advanced software modelling paradigm. It has several benefits when compared with the existing development approaches, in particular, the ability to let agents represent high-level abstractions of active entities in a software system. Although still young and under evolution, this paradigm has already shown particular promise in a number of areas. This paper gives an overview of this paradigm, its benefits over the other conventional programming paradigms being used. It also proposes the decision support system model for the military domain. In the proposed system there are certain critical issues, which need to be focused upon. The existing conventional paradigms are inadequate to deal with these issues. This paper identifies these critical issues and discusses how AOP can address these issues.
机译:分布式人工智能的研究产生了面向代理的编程(AOP),这是一种先进的软件建模范例。与现有的开发方法相比,它具有多个优点,特别是使代理能够代表软件系统中活动实体的高级抽象的能力。尽管还很年轻并且仍在发展中,但是这种范例已经在许多领域显示出了特殊的希望。本文概述了这种范例,它比其他正在使用的常规编程范例的优势。还提出了军事领域的决策支持系统模型。在提议的系统中,存在某些关键问题,需要重点关注。现有的常规范例不足以解决这些问题。本文确定了这些关键问题,并讨论了AOP如何解决这些问题。

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