scholarly journals Fast consensus in a large-scale multi-agent system with directed graphs using time-delayed measurements

2019 ◽  
Vol 377 (2153) ◽  
pp. 20180130 ◽  
Author(s):  
Adrián Ramírez ◽  
Rifat Sipahi ◽  
Sabine Mondié ◽  
Rubén Garrido
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
Directed Graphs ◽  
Graph Laplacian ◽  
Delay Systems ◽  
Multi Agent Systems ◽  
Current State ◽  
Complex Eigenvalues ◽  
Multi Agent ◽  
Delayed Measurements

This article is on fast-consensus reaching in a class of multi-agent systems (MAS). We present an analytical approach to tune controllers for the agents based on the premise that delayed measurements in the controller can be preferable to standard controllers relying only on current measurements. Controller tuning in this setting is however challenging due to the presence of delays. To tackle this problem, we propose an analytic geometry approach. The key contribution is that the tuning can be implemented for complex eigenvalues of the arising graph Laplacian of the network, complementing the current state of the art, which is limited to real eigenvalues. Results, therefore, extend our knowledge beyond symmetric graphs and enable the study of the MAS under directed graphs. This article is part of the theme issue ‘Nonlinear dynamics of delay systems’.

scholarly journals Trust in multi-agent systems

2004 ◽  
Vol 19 (1) ◽  
pp. 1-25 ◽  
Author(s):  
SARVAPALI D. RAMCHURN ◽  
DONG HUYNH ◽  
NICHOLAS R. JENNINGS
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
Comprehensive Treatment ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Agent Systems ◽  
The Core ◽  
Open Distributed Systems ◽  
Multi Agent

Trust is a fundamental concern in large-scale open distributed systems. It lies at the core of all interactions between the entities that have to operate in such uncertain and constantly changing environments. Given this complexity, these components, and the ensuing system, are increasingly being conceptualised, designed, and built using agent-based techniques and, to this end, this paper examines the specific role of trust in multi-agent systems. In particular, we survey the state of the art and provide an account of the main directions along which research efforts are being focused. In so doing, we critically evaluate the relative strengths and weaknesses of the main models that have been proposed and show how, fundamentally, they all seek to minimise the uncertainty in interactions. Finally, we outline the areas that require further research in order to develop a comprehensive treatment of trust in complex computational settings.

Noshape

2019 ◽  
Vol 9 (1) ◽  
pp. 12-36
Author(s):  
Hosny Abbas ◽  
Samir Shaheen
Keyword(s):  
Large Scale ◽  
Response Times ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Current State ◽  
Service Response Time ◽  
Multi Agent ◽  
Long Term Performance ◽  
Term Performance

This article presents a bio-inspired paradigm for metaphorically modeling agent organizations as adaptive virtual amoebas for the development of large-scale complex multi-agent systems. The presented model is called Noshape inspired from the amoeba, which is a unicellular micro-organism that does not have a definite shape. This article aims to test the performance of Noshape MAS with applications contain higher numbers of agents up to 8000 agents; this number of agents is very huge compared to the current state of the practice of MAS. The performance evaluation results show that Noshape MAS have better long-term performance in terms of service response time compared to present organizational approaches (i.e., federation). In Noshape MAS, the response times of remote agents' interactions will seem to be as those of local interactions thanks to the transparently provided dynamic adaptation behavior which arises from the dynamic overlapping of agent organizations. Further research is recommended to give the focus to performance, resiliency, security, and agent mobility within Noshape MAS.

Agents and Multi-Agent Systems in Supply Chain Management

2008 ◽  
pp. 223-243
Author(s):  
Pericles A. Mitkas ◽  
Paraskevi Nikolaidou
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
State Of The Art ◽  
General Description ◽  
Multi Agent Systems ◽  
Chain Management ◽  
Agent Systems ◽  
Current State ◽  
Future Extension ◽  
Multi Agent

This chapter discusses the current state-of-the-art of agents and multi-agent systems (MAS) in supply chain management (SCM). Following a general description of SCM and the challenges it is currently ed with we present MAS as a possible solution to these challenge. We argue that an application involving multiple autonomous actors, such as SCM, can best be served by a software paradigm that relies on multiple independent software entities, like agents. The most significant current trends in this area and focusing on potential areas of further research. Furthermore, the authors believe that a clearer view on the current state-of-the-art and future extension will help researchers improve existing standards and solve remaining issues, eventually helping MAS-based SCM systems to replace legacy ERP software, but also give a boost on both areas of research separately.

Embedded Agents for Mobile Services

2007 ◽  
pp. 243-248
Author(s):  
J. Bradley
Keyword(s):  
Mobile Devices ◽  
Mobile Applications ◽  
State Of The Art ◽  
Mobile Services ◽  
Smart Phones ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Current State ◽  
Multi Agent

This article will focus on the current state of the art in the deployment of multi-agent systems on mobile devices and smart phones. A number of platforms will be described, along with some practical issues concerning the deployment of agents in mobile applications.

Agents and Multi-Agent Systems in Supply Chain Management

2011 ◽  
pp. 867-886
Author(s):  
Pericles Mitkas ◽  
Paraskevi Nikolaidou
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
State Of The Art ◽  
General Description ◽  
Multi Agent Systems ◽  
Chain Management ◽  
Agent Systems ◽  
Current State ◽  
Future Extension ◽  
Multi Agent

This chapter discusses the current state-of-the-art of agents and multi-agent systems (MAS) in supply chain management (SCM). Following a general description of SCM and the challenges it is currently ed with we present MAS as a possible solution to these challenge. We argue that an application involving multiple autonomous actors, such as SCM, can best be served by a software paradigm that relies on multiple independent software entities, like agents. The most significant current trends in this area and focusing on potential areas of further research. Furthermore, the authors believe that a clearer view on the current state-of-the-art and future extension will help researchers improve existing standards and solve remaining issues, eventually helping MAS-based SCM systems to replace legacy ERP software, but also give a boost on both areas of research separately.

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