Agent-based resource discovery architecture for environmental emergency management

被引:28
作者
Liu, KFR [1 ]
机构
[1] Da Yeh Univ, Dept Environm Engn, Changhua 51542, Taiwan
关键词
possibilistic Petri nets; resource description language; emergency management;
D O I
10.1016/j.eswa.2003.12.016
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An agent-based environmental emergency management framework is introduced as a loosely coupled collection of agents that can cooperate to prepare for and response to environmental emergency situations. In this framework, resources play a critical role because they are the foundation for taking action in environmental emergencies. Therefore, an agent-based resource discovery architecture is then proposed to search for the relevant resources over the Internet. In the making of an agent-based resource discovery architecture, two pivotal issues need to be addressed: resource description language (RDL) and its resource matchmaking mechanism. RDL provides a specification to publish and request for resources in environmental emergency situations, and matchmaking is the process of finding an appropriate resource for a request through a medium. In this paper, a possibilistic Petri net-based resource description language is proposed as an advanced RDL with four key features: possibilistic transitions to represent a resource or a request; input places to denote preconditions expected to hold before performing the resources: output places to denote postconditions expected to hold after performing the resources; possibility and necessity measures to quantify the confidence levels that an agent can provide the relevant resource for a request. A matchmaking mechanism, permitting a relaxed match for close semantics, is also developed to search for the possible resources among agents for a request. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:77 / 95
页数:19
相关论文
共 51 条
[31]  
Peterson J., 1981, PETRI NET THEORY MOD
[32]  
Petri C.A., 1962, Communication with automata
[33]  
PICNIELLI G, 2001, HPL200131
[34]  
PURVIS MK, 2002, P BIENN M ENV MOD SO, P318
[35]  
RUBIN CB, 2001, P INT EM MAN SOC C O
[36]  
Ruspini E. H., 1991, International Journal of Approximate Reasoning, V5, P45, DOI 10.1016/0888-613X(91)90006-8
[37]  
SAKEENA MAF, 2002, EMERGENCY RESPONSE M
[38]   A reasoning algorithm for high-level fuzzy petri nets [J].
Scarpelli, H ;
Gomide, F ;
Yager, RR .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1996, 4 (03) :282-294
[39]  
Schroer R, 2001, IEEE AERO EL SYS MAG, V16, P3
[40]  
SOLTYSIAK S, 2001, P INT SOC C INET2000