CAN-Verify: Automated analysis for BDI agents

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Mengwei Xu , Blair Archibald , Michele Sevegnani
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引用次数: 0

Abstract

We present CAN-Verify, an automated tool for analysing BDI agents written in the Conceptual Agent Notation (Can) language. CAN-Verify includes support for syntactic error detection before agent execution, agent program interpretation (running agents), and model-checking of agent programs (analysing agents). The model checking supports verifying the correctness of agents against both generic agent requirements, such as if a task is accomplished, and user-defined requirements, such as certain beliefs eventually holding. The latter can be expressed in structured natural language, allowing the tool to be used by agent programmers without formal training in the underlying verification techniques.
CAN-Verify:BDI 代理的自动分析
我们介绍的 CAN-Verify 是一种自动工具,用于分析用概念代理符号(Can)语言编写的 BDI 代理。CAN-Verify 支持代理执行前的语法错误检测、代理程序解释(运行代理)和代理程序的模型检查(分析代理)。模型检查支持根据一般的代理要求(如是否完成任务)和用户定义的要求(如某些信念最终成立)来验证代理的正确性。后者可以用结构化的自然语言来表达,因此无需接受过底层验证技术正式培训的代理程序员也能使用该工具。
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来源期刊
Science of Computer Programming
Science of Computer Programming 工程技术-计算机:软件工程
CiteScore
3.80
自引率
0.00%
发文量
76
审稿时长
67 days
期刊介绍: Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design. The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice. The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including • Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software; • Design, implementation and evaluation of programming languages; • Programming environments, development tools, visualisation and animation; • Management of the development process; • Human factors in software, software for social interaction, software for social computing; • Cyber physical systems, and software for the interaction between the physical and the machine; • Software aspects of infrastructure services, system administration, and network management.
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