scholarly journals Cooperation Design System Based on Mobile-C Agent Platform

2011 ◽  
Vol 1 ◽  
pp. 16-20
Author(s):  
Bo Yu ◽  
Zi Xian Zhang ◽  
Yi Xiong Feng ◽  
Luis Ariel Diago ◽  
Ichiro Hagiwara
Keyword(s):  
Distributed Systems ◽  
Industrial Applications ◽  
Self Organization ◽  
Design System ◽  
Multi Agent System ◽  
Effective Mechanism ◽  
Agent Based ◽  
Agent Platform ◽  
The Past ◽  
Multi Agent

Over the past decades, Distributed Systems (DS) have been adopted for industrial applications to improve the system efficiency because distributed architecture has advantages in resource utilization, fault toleration .etc. Multi-Agent System (MAS) arises from combination of the theories of artificial intelligence and distributed systems. One character of MAS is their self-organization, so how to implement an effective mechanism for self-organization of agents is important to a MAS system, this paper describes the design and implementation of a Mobile-C based agent management system, in which Mobile-C was adopted as the implementation platform, and this paper also described an agent-based cooperative design application using this system to manage all the agents involved.

scholarly journals AGENT-BASED, CONTEXT-AWARE INFORMATION SHARING FOR AMBIENT INTELLIGENCE

2011 ◽  
Vol 20 (06) ◽  
pp. 985-1000 ◽  
Author(s):  
ANDREI OLARU ◽  
CRISTIAN GRATIE
Keyword(s):  
Ambient Intelligence ◽  
Self Organization ◽  
Context Aware ◽  
Multi Agent System ◽  
Interconnected Network ◽  
Agent Based ◽  
Surrounding Environment ◽  
Multi Agent ◽  
The One ◽  
Future Vision

In a future vision of Ambient Intelligence — or AmI — our surrounding environment will integrate a pervasive, interconnected network of sensors, intelligent appliances and computer-like devices. This implies, on the one hand, hardware and interface related issues, and, on the other hand, a layer of context-aware services that manages the large quantities of information generated throughout a system formed mostly of devices with limited capabilities. This paper presents the first steps toward the realization of the AmIciTy framework: a multi-agent system that relies on local interaction and the self-organization of agents, having as purpose the context-aware sharing of pieces of information. The paper presents the structure of the system, the design of the agents, the manner of building scenarios, experiments and the evaluation of a prototype.

scholarly journals A GENETIC APPROACH FOR LONG TERM VIRTUAL ORGANIZATION DISTRIBUTION

2011 ◽  
Vol 20 (02) ◽  
pp. 271-295 ◽  
Author(s):  
VÍCTOR SÁNCHEZ-ANGUIX ◽  
SOLEDAD VALERO ◽  
ANA GARCÍA-FORNES
Keyword(s):  
Genetic Algorithm ◽  
Virtual Organization ◽  
Genetic Material ◽  
Multi Agent System ◽  
Crossover Operator ◽  
Agent Based ◽  
Multi Agent ◽  
Global Goal ◽  
Computational Resources

An agent-based Virtual Organization is a complex entity where dynamic collections of agents agree to share resources in order to accomplish a global goal or offer a complex service. An important problem for the performance of the Virtual Organization is the distribution of the agents across the computational resources. The final distribution should provide a good load balancing for the organization. In this article, a genetic algorithm is applied to calculate a proper distribution across hosts in an agent-based Virtual Organization. Additionally, an abstract multi-agent system architecture which provides infrastructure for Virtual Organization distribution is introduced. The developed genetic solution employs an elitist crossover operator where one of the children inherits the most promising genetic material from the parents with higher probability. In order to validate the genetic proposal, the designed genetic algorithm has been successfully compared to several heuristics in different scenarios.

A Model for Cooperative Design Based on Multi-Agent System

2011 ◽  
Vol 65 ◽  
pp. 160-164
Author(s):  
Na Li ◽  
Yi Guo
Keyword(s):  
Information Exchange ◽  
Multi Agent System ◽  
Design Environment ◽  
Knowledge Processing ◽  
Cooperative Design ◽  
Agent Based ◽  
Fine Grained ◽  
Design Activities ◽  
Multi Agent ◽  
Design Result

Distributed cooperative design is carried out by teams located at different places. The regional limitation must be overcome to facilitate information exchange, knowledge processing, and design result exchange, etc., among the teams. This paper proposes a multi-agent based model for cooperative design. The model consists of five types of agents according to cooperative design environment and design activities. Integrated fine grained security mechanism into different agents is the major feature of this model.

scholarly journals A multi-agent-based approach for address geocoding in poorly mapped areas through public company data

2021 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Mouhamad Al Mansour KEBE ◽  
Roger Marcelin FAYE ◽  
Claude LISHOU
Keyword(s):  
Current Knowledge ◽  
Original Method ◽  
Local Context ◽  
Multi Agent System ◽  
Industrialized Countries ◽  
Agent System ◽  
Agent Based ◽  
Public Company ◽  
Spatial Coordinates ◽  
Multi Agent

In this study, we present an original method that enhances geocoding systems in poorly mapped areas thanks to public company data and a multi-agent system. In contrast with industrialized countries, many developing countries lack formal postal address systems assignments and usage, making the operation of translating text-based addresses to absolute spatial coordinates, known as geocoding, a big challenge. We recreated a standard of address as it is perceived and used by local people, a kind of non-official national address standard since there is no official one in these areas. Then, we designed a multi-agent system in which agents are assigned different tasks of geocoding process and can perform negotiation to achieve a global objective: find the best possible match or approximation of a location-based on current knowledge. Verification of the usefulness of the proposed approach is made in comparison with Google Geocoding API which shows that the proposed approach has great potential to geocode addresses considering local context semantic issues.

Evolutionary Computation as a Paradigm for Engineering Emergent Behaviour in Multi-Agent Systems

2011 ◽  
pp. 118-136 ◽  
Author(s):  
Robert E. Smith ◽  
Claudio Bonacina
Keyword(s):  
Evolutionary Computation ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Future Directions ◽  
Agent Based ◽  
Agent Systems ◽  
Emergent Behaviour ◽  
Shaping System ◽  
Multi Agent

In the multi-agent system (MAS) context, the theories and practices of evolutionary computation (EC) have new implications, particularly with regard to engineering and shaping system behaviors. Thus, it is important that we consider the embodiment of EC in “real” agents, that is, agents that involve the real restrictions of time and space within MASs. In this chapter, we address these issues in three ways. First, we relate the foundations of EC theory to MAS and consider how general interactions among agents fit within this theory. Second, we introduce a platform independent agent system to assure that our EC methods work within the generic, but realistic, constraints of agents. Finally, we introduce an agent-based system of EC objects. Concluding sections discuss implications and future directions.

Agent-Based Infrastructure for Dynamic Composition of Grid Services

2010 ◽  
pp. 911-936
Author(s):  
Matthew Adigun ◽  
Johnson Iyilade ◽  
Klaas Kabini
Keyword(s):  
Service Composition ◽  
Research Effort ◽  
Multi Agent System ◽  
Grid Services ◽  
Agent System ◽  
Agent Based ◽  
Dynamic Composition ◽  
Emerging Trends ◽  
Dynamic Service Composition ◽  
Multi Agent

The service-oriented computing paradigm is based on the assumption that existing services can be put together in order to obtain new composite services. This chapter focuses on how peer-to-peer architectures based on multi-agent systems can be used to build highly dynamic and reconfigurable infrastructure that support dynamic composition of grid services. The chapter starts by providing an overview of key technologies for SOC. It then introduces dynamic service composition and challenges of composing grid services. The authors further motivate for Multi-agent system approach in SOC and why it becomes important in service composition. They then present our research effort, AIDSEC, an agent-based infrastructure for dynamic service composition, describing its architecture, implementation and comparison with some related work in the literature. In addition, the chapter raises some emerging trends in SOC and the particular challenges they pose to service composition. They conclude by suggesting that a solution based on multi-agent system is required for composing services that possess capabilities of autonomy, reliability, flexibility, and robustness.

Enhanced Reputation Model with Forgiveness for E-Business Agents

2011 ◽  
Vol 3 (1) ◽  
pp. 11-26 ◽  
Author(s):  
Radu Burete ◽  
Amelia Badica ◽  
Costin Badica ◽  
Florin Moraru
Keyword(s):  
Computational Models ◽  
Business Environment ◽  
Quality Attribute ◽  
Agent Based ◽  
Agent Platform ◽  
Business Transactions ◽  
Multi Agent ◽  
Important Quality ◽  
Reputation Model ◽  
Sample Set

Trust is a very important quality attribute of an e-service. In particular, the increasing complexity of the e-business environment requires the development of new computational models of trust and reputation for e-business agents. In this paper, the authors introduce a new reputation model for agents engaged in e-business transactions. The model enhances classic reputation models by the addition of forgiveness factor and the use of new sources of reputation information based on agents groups. The paper proposes an improvement of this model by employing the recent con-resistance concept. Finally, the authors show how the model can be used in an agent-based market environment where trusted buyer and seller agents meet, negotiate, and transact multi-issue e-business contracts. The system was implemented using JADE multi-agent platform and initially evaluated on a sample set of scenarios. The paper introduces the design and implementation of the agent-based system together with the experimental scenarios and results.

Applying Information Gathering Techniques in Business-to-Consumer and Web Scenarios

2011 ◽  
pp. 91-112
Author(s):  
David Camacho
Keyword(s):  
Computer Science ◽  
Information Gathering ◽  
Business Community ◽  
Multi Agent System ◽  
Important Research ◽  
Agent Based ◽  
Research Fields ◽  
Multi Agent ◽  
Business To Consumer ◽  
The Web

The last decade has shown the e-business community and computer science researchers that there can be serious problems and pitfalls when e-companies are created. One of the problems is related to the necessity for the management of knowledge (data, information, or other electronic resources) from different companies. This chapter will focus on two important research fields that are currently working to solve this problem — Information Gathering (IG) techniques and Web-enabled Agent technologies. IG techniques are related to the problem of retrieval, extraction and integration of data from different (usually heterogeneous) sources into new forms. Agent and Multi-Agent technologies have been successfully applied in domains such as the Web. This chapter will show, using a specific IG Multi-Agent system called MAPWeb, how information gathering techniques have been successfully combined with agent technologies to build new Web agent-based systems. These systems can be migrated into Business-to-

scholarly journals Agent-Based Distributed Planning and Coordination for Resilient Airport Surface Movement Operations

Aerospace ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 48
Author(s):  
Konstantine Fines ◽  
Alexei Sharpanskykh ◽  
Matthieu Vert
Keyword(s):  
Real World ◽  
Coordination Mechanisms ◽  
Multi Agent System ◽  
Distributed Planning ◽  
Agent Based ◽  
Surface Movement ◽  
The Real ◽  
Complex Processes ◽  
Multi Agent ◽  
Operational Data

Airport surface movement operations are complex processes with many types of adverse events which require resilient, safe, and efficient responses. One regularly occurring adverse event is that of runway reconfiguration. Agent-based distributed planning and coordination has shown promising results in controlling operations in complex systems, especially during disturbances. In contrast to the centralised approaches, distributed planning is performed by several agents, which coordinate plans with each other. This research evaluates the contribution of agent-based distributed planning and coordination to the resilience of airport surface movement operations when runway reconfigurations occur. An autonomous Multi-Agent System (MAS) model was created based on the layout and airport surface movement operations of Schiphol Airport in the Netherlands. Within the MAS model, three distributed planning and coordination mechanisms were incorporated, based on the Conflict-Based Search (CBS) Multi-Agent Path Finding (MAPF) algorithm and adaptive highways. MAS simulations were run based on eight days of real-world operational data from Schiphol Airport and the results of the autonomous MAS simulations were compared to the performance of the real-world human operated system. The MAS results show that the distributed planning and coordination mechanisms were effective in contributing to the resilient behaviour of the airport surface movement operations, closely following the real-world behaviour, and sometimes even surpassing it. In particular, the mechanisms were found to contribute to more resilient behaviour than the real-world when considering the taxi time after runway reconfiguration events. Finally, the highway included distributed planning and coordination mechanisms contributed to the most resilient behaviour of the airport surface movement operations.

scholarly journals Routing Based Multi-Agent System for Network Reliability in the Smart Microgrid

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2992
Author(s):  
Niharika Singh ◽  
Irraivan Elamvazuthi ◽  
Perumal Nallagownden ◽  
Gobbi Ramasamy ◽  
Ajay Jangra
Keyword(s):  
Large Scale ◽  
Network Performance ◽  
Performance Metrics ◽  
Network Reliability ◽  
Operating Conditions ◽  
Multi Agent System ◽  
Agent System ◽  
Agent Based ◽  
Multi Agent ◽  
System Operating

Microgrids help to achieve power balance and energy allocation optimality for the defined load networks. One of the major challenges associated with microgrids is the design and implementation of a suitable communication-control architecture that can coordinate actions with system operating conditions. In this paper, the focus is to enhance the intelligence of microgrid networks using a multi-agent system while validation is carried out using network performance metrics i.e., delay, throughput, jitter, and queuing. Network performance is analyzed for the small, medium and large scale microgrid using Institute of Electrical and Electronics Engineers (IEEE) test systems. In this paper, multi-agent-based Bellman routing (MABR) is proposed where the Bellman–Ford algorithm serves the system operating conditions to command the actions of multiple agents installed over the overlay microgrid network. The proposed agent-based routing focuses on calculating the shortest path to a given destination to improve network quality and communication reliability. The algorithm is defined for the distributed nature of the microgrid for an ideal communication network and for two cases of fault injected to the network. From this model, up to 35%–43.3% improvement was achieved in the network delay performance based on the Constant Bit Rate (CBR) traffic model for microgrids.

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