A Multi-Agent System for Modular Platform Design in a Dynamic Electronic Market Environment

2006 ◽  
Author(s):  
Seung Ki Moon ◽  
Soundar R. T. Kumara ◽  
Timothy W. Simpson
Keyword(s):  
Product Development ◽  
Electronic Market ◽  
Multi Agent System ◽  
Market Environment ◽  
Agent System ◽  
Market Mechanisms ◽  
Platform Design ◽  
Development Framework ◽  
Multi Agent ◽  
Modular Platform

Electronic markets and web-based supply chain management have improved traditional product development processes by increasing the participation of customers and applying various trading processes between companies and suppliers in a dynamic electronic market environment. A multi-agent system is an appropriate tool to implement a product development system in a distributed environment because of its flexibility, scalability, and adaptability. This paper introduces a multi-agent system (MAS) based on market mechanisms to support modular platform design. The agent architecture for the proposed MAS is described, including specific agent roles, knowledge, and strategies. In particular, a reputation mechanism is used to select stable and reputable modules for the platform by detecting and dismissing volatile modules in a dynamic electronic market environment. We demonstrate the implementation of the proposed MAS using a multi-agent development framework and how to use module reputation for selecting a module for the platform. Through experiments, we illustrate that the MAS can be used to design modules in a product platform using the proposed market mechanisms.

scholarly journals PACA-ITS: A Multi-Agent System for Intelligent Virtual Laboratory Courses

2019 ◽  
Vol 9 (23) ◽  
pp. 5084
Author(s):  
Saima Munawar ◽  
Saba Khalil Toor ◽  
Muhammad Aslam ◽  
Esma Aimeur
Keyword(s):  
Practical Knowledge ◽  
Unified Modeling Language ◽  
Cognitive Model ◽  
Learning System ◽  
Virtual Laboratory ◽  
Multi Agent System ◽  
Agent System ◽  
Laboratory Courses ◽  
Development Framework ◽  
Multi Agent

This paper describes an intensive design leading to the implementation of an intelligent lab companion (ILC) agent for an intelligent virtual laboratory (IVL) platform. An IVL enables virtual labs (VL) to be used as online research laboratories, thereby facilitating and improving the analytical skills of students using agent technology. A multi-agent system enhances the capability of the learning system and solves students’ problems automatically. To ensure an exhaustive Agent Unified Modeling Language (AUML) design, identification of the agents’ types and responsibilities on well-organized AUML strategies is carried out. This work also traces the design challenge of IVL modeling and the ILC agent functionality of six basic agents: the practical coaching agent (PCA), practical dispatcher agent (PDA), practical interaction and coordination agent (PICA), practical expert agent (PEA), practical knowledge management agent (PKMA), and practical inspection agent (PIA). Furthermore, this modeling technique is compatible with ontology mapping based on an enabling technology using the Java Agent Development Framework (JADE), Cognitive Tutor Authoring Tools (CTAT), and Protégé platform integration. The potential Java Expert System Shell (Jess) programming implements the cognitive model algorithm criteria that are applied to measure progress through the CTAT for C++ programming concept task on IVL and successfully deployed on the TutorShop web server for evaluation. The results are estimated through the learning curve to assess the preceding knowledge, error rate, and performance profiler to engage cognitive Jess agent efficiency as well as practicable and active decisions to improve student learning.

scholarly journals STRATEGY SPACE EXPLORATION OF A MULTI-AGENT MODEL FOR THE LABOR MARKET

2006 ◽  
Vol 17 (03) ◽  
pp. 357-371 ◽  
Author(s):  
PABLO DE GRANDE ◽  
MANUEL EGUIA
Keyword(s):  
Labor Market ◽  
Space Exploration ◽  
Multi Agent System ◽  
Agent System ◽  
Market Mechanisms ◽  
Strategy Space ◽  
Trade Off ◽  
Agent Model ◽  
Simple Rules ◽  
Multi Agent

We present a multi-agent system where typical labor market mechanisms emerge. Based on a few simple rules, our model allows for different interpretative paradigms to be represented and for different scenarios to be tried out. We thoroughly explore the space of possible strategies both for those unemployed and for companies and analyze the trade-off between these strategies regarding global social and economical indicators.

Agent-Based Micro Machining System With Cusp-Height-Minimized Tool Sequence

2009 ◽  
Author(s):  
Kyung-Hoon Wie ◽  
Hyung-Jung Kim ◽  
Young-Sun Hong ◽  
Sung-Hoon Ahn
Keyword(s):  
Cost Estimation ◽  
Manufacturing Systems ◽  
Micro Machining ◽  
Multi Agent System ◽  
Agent System ◽  
Agent Based ◽  
Development Framework ◽  
Macro Scale ◽  
Machining System ◽  
Multi Agent

Agent technology can provide a systematic way to design and implement efficiently distributed intelligent manufacturing systems. Multi-agent system has been recognized as a promising paradigm to integrate a number of agents with different functions. In micro machining field many researchers have been studied the machining characteristics since the influence of underlying mechanisms are fundamentally different from macro-scale machining. This paper presents an agent-based micro machining system. To cover the process planning step for micro machining, basic agents such as cutting tool selection, tool-path generation, and machining cost estimation were implemented. To build and integrate these distributed agents, Java Agent Development Framework (JADE) was used. Throughout this system the selection of optimal roughing tool for semi-finishing stage was implemented by providing automated process planner for micro machining to the engineers. Machining data bases were constructed to store the information of materials, tools, and capability of available machine tools. A designed part can be uploaded to the Micro Machining (MM) agent as a Stereo Lithography (STL) format. MM agent can provide process parameters for 3-axis micro milling and tool sequence for cost-optimal machining automatically. Machining Cost Estimation agent can calculate micro machining cost for the designed part. To test the multi-agent system, a surface of micro-surface feature was fabricated with micro end-mills.

scholarly journals Microgrid energy management system for smart home using multi-agent system

2022 ◽  
Vol 12 (2) ◽  
pp. 1153
Author(s):  
Reda Jabeur ◽  
Youness Boujoudar ◽  
Mohamed Azeroual ◽  
Ayman Aljarbouh ◽  
Najat Ouaaline
Keyword(s):  
Energy Management ◽  
Management System ◽  
Smart Home ◽  
Energy Management System ◽  
Multi Agent System ◽  
Agent System ◽  
Development Framework ◽  
Multi Agent ◽  
Electrical Loads ◽  
Battery Energy

This paper proposes a multi-agent system for energy management in a microgrid for smart home applications, the microgrid comprises a photovoltaic source, battery energy storage, electrical loads, and an energy management system (EMS) based on smart agents. The microgrid can be connected to the grid or operating in island mode. All distributed sources are implemented using MATLAB/Simulink to simulate a dynamic model of each electrical component. The agent proposed can interact with each other to find the best strategy for energy management using the java agent development framework (JADE) simulator. Furthermore, the proposed agent framework is also validated through a different case study, the efficiency of the proposed approach to schedule local resources and energy management for microgrid is analyzed. The simulation results verify the efficacy of the proposed approach using Simulink/JADE co-simulation.

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