scholarly journals Modeling Agent-Oriented Methodologies for Landslide Management

2019 ◽  
Vol 4 (2) ◽  
pp. 193
Author(s):  
Very Sugiarto ◽  
Fatwa Ramdani ◽  
Fitra Bachtiar
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Preparedness ◽  
Multi Agent System ◽  
Agent Systems ◽  
Development Framework ◽  
Specific Objective ◽  
Multi Agent ◽  
Prometheus Methodology ◽  
Agent Development

One of the most fatal natural disasters in Batu City was a landslide. The percentage of casualties if directly affected by landslides is 47%. This number is quite large when compared to other natural disasters. Even though the potential of the tsunami is the biggest, when compared to the intensity of the occurrence, landslides are the most common and most often cause fatalities. One of the causes of many fatalities in natural disasters is the lack of preparedness management. For that reason the need to develop a technology that can support to reduce fatalities in landslides is needed. One of the technologies used to prevent the number of fatalities caused by natural disasters is to use multi-agent system. One of the advantages of an agent is use Belief-Desire-Intention (BDI) models for building the Muiti-Agent Systems (MAS). The specific objective of this study was to model a simulated natural disaster landslide using the Prometheus Methodology. Evaluation is done by generating a model using jackCode and implementing it using the Java Agent Development Framework. The results of this study indicate that a model made using the Prometheus Methodology can be used as a simulation of natural disaster preparedness for landslides.

scholarly journals Towards a hybrid software architecture and multi-agent approach for autonomous robot software

2017 ◽  
Vol 14 (4) ◽  
pp. 172988141771608 ◽  
Author(s):  
Shuo Yang ◽  
Xinjun Mao ◽  
Sen Yang ◽  
Zhe Liu
Keyword(s):  
Software Architecture ◽  
Autonomous Robots ◽  
Dynamic Environment ◽  
Dynamic Environments ◽  
Autonomous Robot ◽  
Multi Agent System ◽  
Development Framework ◽  
Multi Agent ◽  
Agent Development ◽  
Sense Model

To support robust plan execution of autonomous robots in dynamic environments, autonomous robot software should include adaptive and reactive capabilities to cope with the dynamics and uncertainties of the evolving states of real-world environments. However, conventional software architectures such as sense-model-plan-act and behaviour-based paradigms are inadequate for meeting the requirements. A lack of sensing during acting in the sense-model-plan-act paradigm makes the software slow to react to run-time contingencies, whereas the behaviour-based architectures typically fall short in planning of long-range steps and making optimized plan adaptations. This article proposes a hybrid software architecture that maintains both adaptivity and reactivity of robot behaviours in dynamic environments. To implement this architecture, we further present the multi-agent development framework known as AutoRobot, which views the robot software as a multi-agent system in which diverse agent roles collaborate to achieve software functionalities. To demonstrate the applicability and validity of our concrete framework and software architecture, we conduct an experiment to implement a typical case, for example, a robot that autonomously picks up and drops off dishes for remote guests, which requires the robot to plan and navigate in a highly dynamic environment and can adapt its behaviours to unexpected situations.

scholarly journals JADE Multi-agent Middleware Applied to Contribute to Certificate Management of Students

2015 ◽  
Vol 16 (1) ◽  
pp. 176
Author(s):  
Fatiha Aityacine ◽  
Badr Hssina ◽  
Belaid Bouikhalene
Keyword(s):  
Personal Data ◽  
Distributed Artificial Intelligence ◽  
Shared Environment ◽  
Multi Agent Systems ◽  
Administrative Services ◽  
Agent Systems ◽  
Development Framework ◽  
Ability To Act ◽  
Multi Agent ◽  
Agent Development

In this article, we present a multi-agent approach that aims to design, modeling and implementation of an application "smart school". Indeed Several institutions adopt the computerized management of education to meet the needs of students using multi-agent systems. They have the ability to act simultaneously in a shared environment. The purpose of this approach is to automate some administrative services of education, based on the theory of distributed artificial intelligence (DAI) and multi-agent systems (MAS). This multi-agent application integrates entities called agents that cooperate and communicate them to perform specific tasks. Our system is based on the middleware JADE (Java Agent DEvelopment Framework) used for the implementation and agents management. This model based on multi-agent systems is tested on the personal data of an experiment conducted with the students of Sultan Moulay Slimane University in Beni Mellal.

A Development Framework of Smart Grid Control System Based on MAS

2012 ◽  
Vol 614-615 ◽  
pp. 807-810
Author(s):  
Ye Liu ◽  
Shou Xiang Wang
Keyword(s):  
Smart Grid ◽  
Distributed Artificial Intelligence ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
The Past ◽  
Development Framework ◽  
Control Framework ◽  
Multi Agent ◽  
Frame Construction ◽  
Agent Development

In this paper, MAS is used to model the framework of smart grid. Multi-Agent Systems (MAS) is one of the popular method in Distributed Artificial Intelligence (DAI) in the past years, which is a good tools to simulate and model the complex systems. Several MAS develop platforms are exist. Considering that JADE (Java Agent Development Framework) is one of the helpful and convenient developing environments of MAS, JADE is adapted to develop smart grid control framework. In this paper, a suitable frame construction of the Multi-Agent Systems for the current power system is designed, which is applied to the smart grid with excellent adaptability and flexibility.

Agent Development Environment for Multi-agent System Design and Integration

2010 ◽  
Vol 43 (4) ◽  
pp. 96-101
Author(s):  
Pavel Tichý ◽  
Petr Kadera ◽  
Raymond J. Staron ◽  
Pavel Vrba ◽  
Vladimír Mařík
Keyword(s):  
System Design ◽  
Multi Agent System ◽  
Agent System ◽  
Development Environment ◽  
Multi Agent ◽  
Agent Development

scholarly journals Household Preparedness for Natural Disasters

2020 ◽  
Vol 4 (1) ◽  
pp. 113-125
Author(s):  
Jelena Kitanović
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Preparedness ◽  
Rapid Development ◽  
Bibliographic Databases ◽  
Inclusion Criteria ◽  
Literature Reviews ◽  
Research Questions ◽  
Household Preparedness ◽  
Communication Methods

Numerous literature reviews have been carried out in the area of household preparedness activities for natural disasters. The present study aims to summarize the latest findings of natural disaster preparedness levels and aims to address the following research questions: What evidence is there for natural disaster preparedness levels? What are the demographic characteristics and potential variables that influence natural disaster preparedness? What has been reported in major bibliographic databases? The first step involved a systematic search to identify relevant studies published between 1995 and 2019 in the following electronic databases EBSCOhost, Scopus, ScienceDirect, and Web of Science. Nineteen studies met the inclusion criteria and were included in the final review. By analysing the available literature, it has been observed that the in the area of preparedness activities for natural disasters most households do not have a rapid development plan for preparation. Although little research has been done on the preparedness of the older population, it will be necessary to analyse which communication methods would be used in case of a natural disaster, as well as look into the benefits of their use for networking and rapid communication of information before and during the natural disaster.

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.

scholarly journals Quantum Diffie–Hellman Extended to Dynamic Quantum Group Key Agreement for e-Healthcare Multi-Agent Systems in Smart Cities

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3940
Author(s):  
Vankamamidi S. Naresh ◽  
Moustafa M. Nasralla ◽  
Sivaranjani Reddi ◽  
Iván García-Magariño
Keyword(s):  
System Architecture ◽  
Key Agreement ◽  
Unitary Operation ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Group Key ◽  
Group Key Agreement ◽  
Agent Systems ◽  
Diffie Hellman ◽  
Multi Agent

Multi-Agent Systems can support e-Healthcare applications for improving quality of life of citizens. In this direction, we propose a healthcare system architecture named smart healthcare city. First, we divide a given city into various zones and then we propose a zonal level three-layered system architecture. Further, for effectiveness we introduce a Multi-Agent System (MAS) in this three-layered architecture. Protecting sensitive health information of citizens is a major security concern. Group key agreement (GKA) is the corner stone for securely sharing the healthcare data among the healthcare stakeholders of the city. For establishing GKA, many efficient cryptosystems are available in the classical field. However, they are yet dependent on the supposition that some computational problems are infeasible. In light of quantum mechanics, a new field emerges to share a secret key among two or more members. The unbreakable and highly secure features of key agreement based on fundamental laws of physics allow us to propose a Quantum GKA (QGKA) technique based on renowned Quantum Diffie–Hellman (QDH). In this, a node acts as a Group Controller (GC) and forms 2-party groups with remaining nodes, establishing a QDH-style shared key per each two-party. It then joins these keys into a single group key by means of a XOR-operation, acting as a usual group node. Furthermore, we extend the QGKA to Dynamic QGKA (DQGKA) by adding join and leave protocol. Our protocol performance was compared with existing QGKA protocols in terms of Qubit efficiency (QE), unitary operation (UO), unitary operation efficiency (UOE), key consistency check (KCC), security against participants attack (SAP) and satisfactory results were obtained. The security analysis of the proposed technique is based on unconditional security of QDH. Moreover, it is secured against internal and external attack. In this way, e-healthcare Multi-Agent System can be robust against future quantum-based attacks.

Adaptive Cooperation for Multi Agent Systems Based on Human Social Behavior

2012 ◽  
Vol 16 (1) ◽  
pp. 139-146 ◽  
Author(s):  
Hiroshi Igarashi ◽  
◽  
Yoshinobu Adachi ◽  
Kazunari Takahashi ◽  
◽  
...  
Keyword(s):  
Task Performance ◽  
Biological Knowledge ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Environmental Variations ◽  
Multi Agent ◽  
Multiple Robot ◽  
Robot Cooperation ◽  
Human Social Behaviour

This paper addresses a new cooperation technique for multi-agent systems. This technique is based on human social behaviour. According to biological knowledge, the population contributes to the preservation of the species and adaptability to environmental variations. Multiple robot cooperation, therefore, has a potential to be flexible and adaptable to various tasks. Furthermore, sociality based on the performance evaluation of other humans is expected to enhance the whole task performance. Finally, adaptability and the total performance of proposed technique are verified by pursuit survey on the multi-agent system.

Fatal Work Injuries Involving Natural Disasters, 1992–2006

2009 ◽  
Vol 3 (4) ◽  
pp. 201-209 ◽  
Author(s):  
Gregory M. Fayard
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Preparedness ◽  
Large Scale ◽  
Expert Knowledge ◽  
Occupational Injuries ◽  
Motor Vehicles ◽  
Disaster Data ◽  
The Government ◽  
Classification Structure

ABSTRACTObjective: Although a goal of disaster preparedness is to protect vulnerable populations from hazards, little research has explored the types of risks that workers face in their encounters with natural disasters. This study examines how workers are fatally injured in severe natural events.Methods: A classification structure was created that identified the physical component of the disaster that led to the death and the pursuit of the worker as it relates to the disaster. Data on natural disasters from the Census of Fatal Occupational Injuries for the years 1992 through 2006 were analyzed.Results: A total of 307 natural disaster deaths to workers were identified in 1992–2006. Most fatal occupational injuries were related to wildfires (80 fatalities), hurricanes (72 fatalities), and floods (62 fatalities). Compared with fatal occupational injuries in general, natural disaster fatalities involved more workers who were white and more workers who were working for the government. Most wildfire fatalities stemmed directly from exposure to fire and gases and occurred to those engaged in firefighting, whereas hurricane fatalities tended to occur more independently of disaster-produced hazards and to workers engaged in cleanup and reconstruction. Those deaths related to the 2005 hurricanes occurred a median of 36.5 days after landfall of the associated storm. Nearly half of the flood deaths occurred to passengers in motor vehicles. Other disasters included tornadoes (33 fatalities), landslides (17), avalanches (16), ice storms (14), and blizzards (9).Conclusions: Despite an increasing social emphasis on disaster preparation and response, there has been little increase in expert knowledge about how people actually perish in these large-scale events. Using a 2-way classification structure, this study identifies areas of emphasis in preventing occupational deaths from various natural disasters. (Disaster Med Public Health Preparedness. 2009;3:201–209)

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