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CLC number: TP18; C912.2

On-line Access: 2016-04-05

Received: 2015-10-30

Revision Accepted: 2016-03-13

Crosschecked: 2016-03-23

Cited: 1

Clicked: 3682

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Maiquel de Brito

http://orcid.org/0000-0003-4650-7416

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Frontiers of Information Technology & Electronic Engineering  2016 Vol.17 No.4 P.309-324

http://doi.org/10.1631/FITEE.1500369


Supporting flexible regulation of crisis management by means of situated artificial institution


Author(s):  Maiquel de Brito, Lauren Thévin, Catherine Garbay, Olivier Boissier, Jomi Fred Hübner

Affiliation(s):  Federal University of Santa Catarina, UFSC/CTC/DAS/PPGEAS - PO Box 476, Florianópolis, SC 88040-900, Brazil; more

Corresponding email(s):   maiquel.b@posgrad.ufsc.br

Key Words:  Situated artificial institutions (SAIs), Normative system, Tangible interaction, Crisis management


Maiquel de Brito, Lauren Thévin, Catherine Garbay, Olivier Boissier, Jomi Fred Hübner. Supporting flexible regulation of crisis management by means of situated artificial institution[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(4): 309-324.

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year="2016",
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Abstract: 
This paper highlights the use of situated artificial institution (SAI) within a hybrid, interactive, normative multi-agent system to regulate human collaboration in crisis management. Norms regulate the actions of human actors based on the dynamics of the environment in which they are situated. This dynamics results from both environment evolution and actors’ actions. Our objective is to situate norms in the environment in order to provide a context-aware crisis regulation. However, this coupling must be a loose one to keep both levels independent and easy-to-change in order to face the complex and changing crisis situations. To that aim, we introduce a constitutive level between environmental and normative states providing a loose coupling of normative regulation with environment evolution. Norms are thus no more referring to environmental facts but to status functions, i.e., the institutional interpretation of environmental facts through constitutive rules. We present how this declarative and distinct SAI modelling succeeds in managing the crisis with a context-aware crisis regulation.

通过情景化人工机构(SAI)实现灵活的危机管理校准

目的:将规则置于情景中,提供一个能够识别事态的危机管理调节方案。
创新点:在情景状态和规范状态之间引入本构关系,实现了规范校准和情景评估的松耦合,从而使规范不是指代情景状况而是事态函数,即通过本构规则构成对情景状况的制度性解释。
方法:首先介绍了危机管理的目标以及危机管理协同平台的应用。以一个简单但具有普遍意义的危机管理案例——受危机影响的区域疏散——为背景,定义了危机管理中的三类角色。接着阐述了由混合多智能体系统、混合互动以及规范系统构成的用于支持危机管理的系统,并分析人在危机管理中的合作。然后基于环境因素、事态函数、本构规则以及规范四个方面详细阐述了情景化人工机构(SAI)以及SAI在危机管理中的相应实现,分析了SAI对于危机管理的优势与贡献:包括比如情景解释的分歧、保持独立的规范性和本构关系、在具体情景中设计有效规范集和其生命周期、提高系统的自主性等。最后表明,物理情形的变化将引起本构规则的变化,从而激活相应的规范。
结论:本文的研究解决了危机管理工具面临的两个问题——清晰而有条理的协同和灵活性,能够有效处理事态解释的差异、规范的不一致性、事态演化和系统的自治水平等问题。

关键词:情景化人工机构(SAI);规范系统;触知互动;危机管理

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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