摘要翻译:
本文研究了所选择的规则模块化技术。描述了模块化规则库推理规范的三种可视化方法:Drools Flow,BPMN和XTT2。Drools Flow是一种流行的工作流或流程建模技术,BPMN是一种用于建模业务流程的OMG标准,XTT2是一种分层标签系统规范方法。由于这些方法的局限性,本文给出了几种方法的集成建议。
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英文标题:
《Visual Inference Specification Methods for Modularized Rulebases.
Overview and Integration Proposal》
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作者:
Krzysztof Kluza, Grzegorz J. Nalepa and {\L}ukasz {\L}ysik
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最新提交年份:
2011
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Artificial Intelligence 人工智能
分类描述:Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域,除了视觉、机器人、机器学习、多智能体系统以及计算和语言(自然语言处理),这些领域有独立的学科领域。特别地,包括专家系统,定理证明(尽管这可能与计算机科学中的逻辑重叠),知识表示,规划,和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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一级分类:Computer Science 计算机科学
二级分类:Software Engineering 软件工程
分类描述:Covers design tools, software metrics, testing and debugging, programming environments, etc. Roughly includes material in all of ACM Subject Classes D.2, except that D.2.4 (program verification) should probably have Logics in Computer Science as the primary subject area.
涵盖设计工具、软件度量、测试和调试、编程环境等。大致包括ACM所有主题课程D.2的材料,除了D.2.4(程序验证)可能应该有计算机科学中的逻辑作为主要主题领域。
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英文摘要:
The paper concerns selected rule modularization techniques. Three visual methods for inference specification for modularized rule- bases are described: Drools Flow, BPMN and XTT2. Drools Flow is a popular technology for workflow or process modeling, BPMN is an OMG standard for modeling business processes, and XTT2 is a hierarchical tab- ular system specification method. Because of some limitations of these solutions, several proposals of their integration are given.
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PDF链接:
https://arxiv.org/pdf/1109.0621