scholarly journals Multi agent gathering waste system

2015 ◽  
Vol 4 (4) ◽  
pp. 9-22
Author(s):  
Álvaro Lozano Murciego ◽  
Gabriel Villarrubia González ◽  
Alberto López Barriuso ◽  
Daniel Hernández De La Iglesia ◽  
Jorge Revuelta Herrero
Keyword(s):  
Mobile Application ◽  
Low Cost ◽  
Open Data ◽  
Practical Case ◽  
Agent Based ◽  
City Environment ◽  
System A ◽  
Volume Level ◽  
Multi Agent

Along this paper, we present a new multi agent-based system to gather waste on cities and villages. We have developed a low cost wireless sensor prototype to measure the volume level of the containers. Furthermore a route system is developed to optimize the routes of the trucks and a mobile application has been developed to help drivers in their working days. In order to evaluate and validate the proposed system a practical case study in a real city environment is modeled using open data available and with the purpose of identifying limitations of the system.

scholarly journals A Novel Multi-Agent-Based Collaborative Virtual Manufacturing Environment Integrated with Edge Computing Technique

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2815
Author(s):  
Xiaohui Zhang ◽  
Shufeng Tang ◽  
Xinhua Liu ◽  
Reza Malekian ◽  
Zhixiong Li
Keyword(s):  
Virtual Manufacturing ◽  
Edge Computing ◽  
Manufacturing Environment ◽  
Computing Technique ◽  
Agent Based ◽  
System A ◽  
Multi Agent ◽  
Save Energy ◽  
Virtual Manufacturing Environment

This paper proposes a multi-agent-based collaborative virtual manufacturing environment (VME) to save energy consumption and improve efficiency in the manufacturing process. In order to achieve the high autonomy of the manufacturing system, a multi-agent system (MAS) is designed to build a collaborative VME. In this new VME environment, edge computing is embedded to strengthen the cyber resource utilization and system economy. Moreover, an efficient communication channel between networks is proposed. The subsequent cooperation and collaboration protocols among agents are designed to ensure flexible and process-oriented operations. Furthermore, the fuzzy resolution algorithm is employed to resolve the competition conflicts among function-similar MASs in the distributed manufacturing scenario. Lastly, a simulation and case study are performed to evaluate the performance of the proposed VME in Internet of Things (IoT)-based manufacturing. The analysis results have demonstrated the feasibility and effectiveness of the proposed VME system.

scholarly journals A Low Cost Hospital Information System: A Case Study of the Mehr Hospital in Mashhad City

2014 ◽  
Vol 7 (7) ◽  
pp. 1318-1324
Author(s):  
Negin Karimi Hosseini ◽  
Jan Nordin ◽  
Mitra Mahdiani ◽  
Samira Sadrzadeh Rafiei
Keyword(s):  
Information System ◽  
Hospital Information System ◽  
Low Cost ◽  
System A ◽  
Mashhad City

scholarly journals A case study on availability of sensor data in agent cooperation

2010 ◽  
Vol 7 (3) ◽  
pp. 597-615
Author(s):  
Christian Johansson ◽  
Fredrik Wernstedt ◽  
Paul Davidsson
Keyword(s):  
Production Costs ◽  
Sensor Data ◽  
Energy Market ◽  
Physical Processes ◽  
Agent Based ◽  
Production And Distribution ◽  
Multi Agent ◽  
Problem Characteristic ◽  
Agent Cooperation

Multi-agent cooperation can in several cases be used in order to mitigate problems relating to task sharing within physical processes. In this paper we apply agent based solutions to a class of problems defined by their property of being predictable from a macroscopic perspective while being highly stochastic when viewed at a microscopic level. These characteristic properties can be found in several industrial processes and applications, e.g. within the energy market where the production and distribution of electricity follow this pattern. Another defining problem characteristic is that the supply is usually limited as well as consisting of several layers of differentiating production costs. We evaluate and compare the performance of the agent system in three different scenarios, and for each such scenario it is shown to what degree the optimization system is dependent on the level of availability of sensor data.

scholarly journals Developing fire evacuation simulation through BDI-based modelling and simulation

2021 ◽  
Vol 2107 (1) ◽  
pp. 012047
Author(s):  
Ng YenChern ◽  
Cheah WaiShiang ◽  
Sim KengWai ◽  
Muhammad Asyraf bin Khairuddin ◽  
Nurfauza bt Jali ◽  
...  
Keyword(s):  
Multi Agent System ◽  
Game Engine ◽  
Evacuation Simulation ◽  
System A ◽  
Bdi Agent ◽  
Fire Evacuation ◽  
Multi Agent ◽  
Main Components ◽  
Multi Agents

Abstract Fire evacuation simulation is used to simulate the fire evacuation procedures by involving human-like agents. In this paper, the fire evacuation simulation is designed and developed by adopting the BDI agent plug-in. BDI (Belief, Desires, Intentions) is a technique used in modelling the multi-agent system. A tool and BDI methodology are introduced to help in modelling human behaviour and the decision making of an agent. In this paper, the usability of the BDI methodology and BDI agent plug-in tool is studied through a case study of a fire evacuation environment. The case study covers the three main components needed in a fire evacuation simulation: the fire (the spread of the fire and smoke), the building layout (the classroom and physical objects), and the human-like multi-agents. Using the Unity game engine, a fire evacuation simulation system is built based on the requirements, methodology, and design. The usability of the BDI agent plug-in tool can be proven by observing the results of the fire evacuation simulation and the reaction of agents when encountering the fire situation. However, there are also some limitations of this fire evacuation simulation. Therefore, there are works to be done to develop a more realistic fire evacuation simulation and more human-like multi-agents in future.

Agent-Based Modelling in Multicellular Systems Biology

2020 ◽  
pp. 369-389
Author(s):  
Sara Montagna ◽  
Andrea Omicini
Keyword(s):  
Developmental Biology ◽  
Drosophila Melanogaster ◽  
Systems Biology ◽  
Computational Models ◽  
The Self ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Multi Agent

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.

An Agent-Based Collaborative Negotiation System for Global Manufacturing Supply Chain Management

2008 ◽  
pp. 2598-2617
Author(s):  
Jianxin Jiao ◽  
Xiao You ◽  
Arun Kumar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Broad Class ◽  
Chain Management ◽  
Agent Based ◽  
Global Manufacturing ◽  
Manufacturing Supply Chain ◽  
Collaborative Negotiation ◽  
Multi Agent

This chapter applies the multi-agent system paradigm to collaborative negotiation in a global manufacturing supply chain network. Multi-agent computational environments are suitable for dealing with a broad class of coordination and negotiation issues involving multiple autonomous or semi-autonomous problem-solving agents. An agent-based multi-contract negotiation system is proposed for global manufacturingsupply chain coordination. Also reported is a case study of mobile phone global manufacturing supply chain management.

An Effectiveness Modelling Approach for IoT-Based Smart Grids

2021 ◽  
pp. 92-111
Author(s):  
Dongming Fan ◽  
Yi Ren ◽  
Qiang Feng
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Information Technologies ◽  
Self Healing ◽  
New Paradigm ◽  
Agent Based ◽  
Efficient Energy ◽  
Real Time Analysis ◽  
Multi Agent

The smart grid is a new paradigm that enables highly efficient energy production, transport, and consumption along the whole chain from the source to the user. The smart grid is the combination of classical power grid with emerging communication and information technologies. IoT-based smart grid will be one of the largest instantiations of the IoT in the future. The effectiveness of IoT-based smart grid is mainly reflected in observability, real-time analysis, decision-making, and self-healing. A proper effectiveness modeling approach should maintain the reliability and maintainability of IoT-based smart grids. In this chapter, a multi-agent-based approach is proposed to model the architecture of IoT-based smart grids. Based on the agent framework, certain common types of agents are provided to describe the operation and restoration process of smart grids. A case study is demonstrated to model an IoT-based smart grid with restoration, and the interactive process with agents is proposed simultaneously.

Sign in / Sign up

Export Citation Format

Share Document