Formal reasoning of knowledge in systems engineering through epistemic modal logic

被引:3
作者
Kannan, Hanumanthrao [1 ]
机构
[1] Virginia Tech, Grado Dept Ind & Syst Engn, 225 Durham Hall, Blacksburg, VA 24061 USA
关键词
knowledge reasoning; knowledge representation; requirements conflicts; PREFERENCE; REPRESENTATION; MODEL;
D O I
10.1002/sys.21563
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Large-scale systems engineering projects consist of hundreds to thousands of agents (stakeholders, managers, designers, etc.) spread across the organizational hierarchy. Each of these agents possesses knowledge in some form or the other, be it the knowledge of stakeholder needs, domain-specific knowledge, knowledge of rules and regulations, knowledge gained from experience on previous projects, etc. It is important to formally represent this knowledge possessed by various agents in the systems engineering lifecycle, as this will enable knowledge reuse, reasoning capabilities, inferring new knowledge, and mitigate misinterpretation of knowledge as prevalent in document-centric approaches. Such a formal representation will also help alleviate some of the challenges posed by the current document-centric approaches concerning project delays and cost overruns in the development of large-scale systems. This paper focuses on formally representing knowledge that exists in various phases of the systems engineering lifecycle by leveraging epistemic modal logic. Descriptive examples are used to demonstrate the practical reasoning capabilities of such a formal representation of knowledge in systems engineering projects.
引用
收藏
页码:3 / 16
页数:14
相关论文
共 79 条
[1]  
Abbas A., 2018, Foundations of Multiattribute Utility
[2]  
Abbas A. E., 2015, Foundations of decision analysis
[3]   Reasoning with contextual requirements: Detecting inconsistency and conflicts [J].
Ali, Raian ;
Dalpiaz, Fabiano ;
Giorgini, Paolo .
INFORMATION AND SOFTWARE TECHNOLOGY, 2013, 55 (01) :35-57
[4]  
Allen TE, 2015, INT C ALG DEC THEOR
[5]  
[Anonymous], 2007, NASA SYST ENG HDB
[6]  
[Anonymous], 2013, AEROSP CONF PROC
[7]  
[Anonymous], 2012, MASTERING REQUIREMEN
[8]  
[Anonymous], 2016, Semantic web technologies for intelligent engineering applications
[9]  
[Anonymous], 2004, Logic and structure
[10]   On the Glucose SAT Solver [J].
Audemard, Gilles ;
Simon, Laurent .
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2018, 27 (01)