A hybrid approach for Structural Monitoring with self-organizing multi-agent systems and inverse numerical methods in material-embedded sensor networks

Mechatronics ◽  
2016 ◽  
Vol 34 ◽  
pp. 12-37 ◽  
Author(s):  
Stefan Bosse ◽  
Armin Lechleiter
Keyword(s):  
Sensor Networks ◽  
Numerical Methods ◽  
Hybrid Approach ◽  
Structural Monitoring ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Self Organizing

scholarly journals A Stepwise Refinement Based Development of Self-Organizing Multi-Agent Systems: Application to the Foraging Ants

2014 ◽  
pp. 40-57 ◽  
Author(s):  
Zeineb Graja ◽  
Frédéric Migeon ◽  
Christine Maurel ◽  
Marie-Pierre Gleizes ◽  
Ahmed Hadj Kacem
Keyword(s):  
Multi Agent Systems ◽  
Stepwise Refinement ◽  
Agent Systems ◽  
Multi Agent ◽  
Self Organizing

Developing Self-Organizing Systems by Policy-Based Self-Organizing Multi-Agent Systems

2012 ◽  
pp. 502-512 ◽  
Author(s):  
Yi Guo ◽  
Xinjun Mao ◽  
Cuiyun Hu ◽  
Junwen Yin ◽  
Xinzhong Zhu
Keyword(s):  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Self Organizing

Brokering Web Services via a Hybrid Ontology Mediation Approach Using Multi Agent Systems (MAS)

2010 ◽  
pp. 431-444
Author(s):  
Saravanan Muthaiyah ◽  
Larry Kerschberg
Keyword(s):  
Web Services ◽  
Empirical Evidence ◽  
Hybrid Approach ◽  
Semantic Relatedness ◽  
Semantic Matching ◽  
Multi Agent Systems ◽  
Mapping Algorithm ◽  
Agent Systems ◽  
Multi Agent ◽  
Matching Techniques

This chapter introduces a hybrid ontology mediation approach for deploying Semantic Web Services (SWS) using Multi-agent systems (MAS). The methodology that the authors have applied combines both syntactic and semantic matching techniques for mapping ontological schemas so as to 1) eliminate heterogeneity; 2)provide higher precision and relevance in matched results; 3) produce better reliability and 4) achieve schema homogeneity. The authors introduce a hybrid matching algorithm i.e. SRS (Semantic Relatedness Score) which is a composite matcher that comprises thirteen well established semantic and syntactic algorithms which have been widely used in linguistic analysis. This chapter provides empirical evidence via several hypothesis tests for validating our approach. A detailed mapping algorithm as well as a Multi-agent based system (MAS) prototype has been developed for brokering Web services as proof-of-concept and to further validate the presented approach. Agent systems today provide brokering services that heavily rely on matching algorithms that at present focus mainly only on syntactic matching techniques. The authors provide empirical evidence that their hybrid approach is a better solution to this problem.

A FORMAL HOLONIC FRAMEWORK WITH PROVED SELF-ORGANIZING CAPABILITIES

2007 ◽  
Vol 16 (01) ◽  
pp. 7-25 ◽  
Author(s):  
SEBASTIAN RODRIGUEZ ◽  
VINCENT HILAIRE ◽  
PABLO GRUER ◽  
ABDER KOUKAM
Keyword(s):  
Real World ◽  
Organizational Structures ◽  
The Self ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Real World Problem ◽  
Multi Agent ◽  
Self Similar ◽  
Systems Architectures ◽  
Self Organizing

Numerous works aim to design agents and multi-agent systems architectures in order to enable cooperation and coordination between agents. Most of them use organizational structures or societies metaphor to define the MAS architecture. It seems improbable that a rigid unscalable organization could handle a real world problem, so it is interesting to provide agents with abilities to self-organize according to problem's objectives and environment dynamics. We have chosen the holonic paradigm to provide these abilities to agents. Holons are recursive self-similar entities which are organized in an emergent society — an holarchy. The aim of this paper is to present a formally specified framework for holonic MAS which allows agents to self-organize. The framework is illustrated by an example drawn from a real world problem. Some pertinent properties concerning the self-organizing capabilities of this framework are then proved.

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