摘要翻译:
LEXSYS(豆科植物专家系统)是在尼日利亚伊巴丹国际热带农业研究所构思的一个项目。LEXSYS是1990年由基于玉米的系统研究协作组发起的,旨在为可持续的谷物种植系统的技术设计提供一个通用的农场测试框架。它不是一个真正的专家系统,而是一个用户友好的信息系统。本工作试图给出一个现有系统的正式表示,然后提出智能agent可以应用的领域。
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英文标题:
《LEXSYS: Architecture and Implication for Intelligent Agent systems》
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作者:
Charles A. B. Robert (LORIA)
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最新提交年份:
2010
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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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英文摘要:
LEXSYS, (Legume Expert System) was a project conceived at IITA (International Institute of Tropical Agriculture) Ibadan Nigeria. It was initiated by the COMBS (Collaborative Group on Maize-Based Systems Research in the 1990. It was meant for a general framework for characterizing on-farm testing for technology design for sustainable cereal-based cropping system. LEXSYS is not a true expert system as the name would imply, but simply a user-friendly information system. This work is an attempt to give a formal representation of the existing system and then present areas where intelligent agent can be applied.
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PDF链接:
https://arxiv.org/pdf/1003.5173


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