• Title/Summary/Keyword: Agent-based modeling

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System Dynamics with a Agent Based Modeling Concpet (Agent Based Modeling 기법을 활용한 시스템다이내믹스 모델링)

  • Jeon, So-Yun;Lee, Hye-Jun;Kwak, Sang-Man
    • Korean System Dynamics Review
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    • v.7 no.1
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    • pp.27-49
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    • 2006
  • A system dynamics model is developed to investigate the applicability of the agent based modeling concept in the system dynamics model. The assumed problem is to forecast the size and structure of the organization with the developing market environment. The agent based modeling concept is applied to the organization part, and the other parts of the model such as market, facilities, etc. are developed with the traditional system dynamics technique. The simulation results show the agent based modeling part can be combined with the traditional system dynamics modeling with more precisions. However, the complexity increases and the simulation times are longer than those of the traditional method.

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Agent-Based Modeling Methodology for Close-Combat Attrition Estimates (Agent 기반 모델링에 의한 근접전투 손실예측 방법론)

  • Kim, Hee-Soo;Lee, Jae-Ho;Shin, Hyun-Ju
    • Journal of the military operations research society of Korea
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    • v.32 no.2
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    • pp.56-77
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    • 2006
  • This paper suggests more improved war-game modeling methodology for close combat attrition modeling. Military operation analysts have been using equation-based modeling techniques such as Lanchester-type differential equation modeling, for combat attrition evaluation. This modeling methodology is easy to analyze and evaluate the war-game simulation results but has several limitations to simulate the dynamic combat environment. To overcome these shortcomings, we propose the agent-based modeling methodology. This methodology is modeling close combat based in attrition behaviors instead of attrition coefficients. The simulation analysis & evaluation is executed for these two kinds of modeling methodology on the similar close combat situation.

Methodology for Discrete Event Modeling/Simulation of Mobile Agent Systems

  • Kim, Jae-Hyun;Kim, Tag-Gon
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.453-458
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    • 2001
  • A mobile agent is an autonomous software agent capable of moving from one computer to another while performing its tasks. We view the agent as a discrete event system in the view of its computation and communication. This paper presents a methodology far modeling and simulation of such a mobile agent system as a discrete event system. The methodology is based on the Mobile Discrete Event System Specification (MDEVS) formalism and the associated simulation environment AgentSim which are previously developed by the authors. Within the methodology an atomic model represents dynamics of a mobile agent; a coupled model is modeled as mobile agent servers for representation of structural changes between atomic agents. Being based on the object-oriented environment the modeling methodology exploits inheritance of basic classes AtomicModel and CoupledModel provided by AgentSim.

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Agent Application for E-Beam Manufacturing System (전자빔 가공기에 대한 에이전트 응용)

  • Lim, Sun-Jong;Lee, Chan-Hong;Song, Jun-Yeob
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.2
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    • pp.44-49
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    • 2007
  • An agent is an abstract unit for problem solving in the field of distributed artificial intelligence, and an agent-based system is designed and implemented based on the definition of agent as its central concept. Agent modeling is advantageous to abstraction, disintegration and structuring for describing complex system, so its application is increased in various areas including air traffic control, power transmission, e-commerce and medicine. There is no agreed definition of agent but agents have common points as follows: autonomy, reactivity, pro-activeness and cooperation. An agent-oriented modeling is an approach of a concept different form existing object-oriented modeling. This study proposed the agent application for E-Beam manufacturing system. To evaluate the performance of the proposed process design, we used the JADE library. The JADE toolkit provides a FIPA-compliant agent platform and a package to develp Java agents. It provides a basic set of functionalities that are regarded as essential for an autonomous agent architecture.

Agent Based Modeling 기법을 활용한 시스템다이내믹스 모델링

  • Jeon, So-Yeon;Lee, Hye-Jun;Gwak, Sang-Man
    • Proceedings of the Korean System Dynamics Society
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    • 2006.04a
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    • pp.19-40
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    • 2006
  • A system dynamics model is developed to investigate the applicability of the agent based modeling concept in the system dynamics model. The assumed problem is to forecast the size and structure of the organization with the developing market environment. The agent based modeling concept is applied to the organization part, and the other parts of the model such as market, facilities, etc. are developed with the traditional system dynamics technique. The simulation results show the agent based modeling part can be combined with the traditional system dynamics modeling with more precisions. However, the complexity increases and the simulation times are longer than those of the traditional method.

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Agent-based SAF Modeling Tool for DEVS M&S (DEVS M&S 환경을 위한 에이전트 기반의 SAF 모델링 도구)

  • Shin, Suk-Hoon;Park, Kang-Moon;Lee, Eun-Bog;Chi, Sung-Do;Han, Seung-Jin
    • Journal of the Korea Society for Simulation
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    • v.22 no.4
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    • pp.49-55
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    • 2013
  • Recently the CGF/SAF (Computer Generated Force / Semi-Automated Force) technology has been getting attention to deal with the increasing complexity in a DM&S(Defence Modeling and Simulation) environment. OneSAF is one of well-known CGF/SAF systems, however, it is not able to support the DEVS framework which is an advanced discrete event based modeling and simulation environment. Especially, most DM&S systems in Korea has been developed on the basis of the DEVS framework. In this paper, we have proposed the agent-based SAF design methodology and tool for supporting DEVS M&S environment. The proposed SAF modeling tool is divided into two parts; the agent modeling part and SAF modeling part. In the agent modeling environment, the modeler can simply create the agent model by writing down the necessary rules. It also provides the agent testing environment so that the modeler maybe conveniently verify the prescribed agent model. The SAF model is finally created by combing the individual agents based on the pre-defined structure. DM&S engineers will be able to employ our tools and modeling methodology to design the DEVS-based DM&S system to be developed.

Agent-Based Modeling and Design of Water Reuse Network in Eco-Industrial Park (EIP) (생태산업단지에서 용수재이용 네트워크의 에이전트 기반 모델링 및 설계)

  • Kim, HyunJoo;Yoo, ChangKyoo;Ryu, Jun-Hyung;Lee, In-Beum
    • Korean Chemical Engineering Research
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    • v.46 no.2
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    • pp.369-375
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    • 2008
  • To achieve zero-emission, one of the main goals of an eco-industrial park (EIP), it is needed to develop an effective water exchange network. The network includes various subsystems and decision making processes, which make the modeling process extremely complicated. Agent-based modeling was used to simulate water exchange network in an EIP. Firm agents were created based on the behavior pattern of firms, and an agent-based model (ABM) was made with the agents, showing the growth of the exchange network. An existing steel and iron making industrial park was chosen as a case study, and the ABM model shows eco-efficient behavior with a decreased environmental cost. Water reuse network based on the ABM model results in 35% decrease of the fresh water supply and 50% reduction of the wastewater generation in EIP. A case study shows that agent-based model can be a powerful tool in modeling and designing complex eco-industrial parks, especially when a part of the system needs to be changed.

Method for Shop Floor Control Using Agent-Technique (에이전트 기술 응용 Shop floor 제어 방안)

  • Park, Hong-Seok
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.4
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    • pp.176-181
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    • 2001
  • Due to the increasing complexity to handle conflicts and interruptions caused by resource failures and rush orders, shop control is obliged to redesign its organization according to the changing demands of the manufacturing control. These demands are leading to the development of decentralization and gradually to their permanent optimization. As a result, a powerful modeling method which can be adapted efficiently is required. The use of agent theory enables specific modeling of the relevant shop planning activities. The planning activities are modeled in a so-called activity modeling through the definition of three classes of agents; Plan Agent, Manufacturing System Agent and Control Agent as well as the description of the cooperative relationship among these agents. On the basis of the activity model the agent-based shop control method is developed which emphasizes the distributed problem-solving and the cooperation with relevant agents.

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Long-Term Demand Forecasting Using Agent-Based Model : Application on Automotive Spare Parts (Agent-Based Model을 활용한 자동차 예비부품 장기수요예측)

  • Lee, Sangwook;Ha, Chunghun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.1
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    • pp.110-117
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    • 2015
  • Spare part management is very important to products that have large number of parts and long lifecycle such as automobile and aircraft. Supply chain must support immediate procurement for repair. However, it is not easy to handle spare parts efficiently due to huge stock keeping units. Qualified forecasting is the basis for the supply chain to achieve the goal. In this paper, we propose an agent based modeling approach that can deal with various factors simultaneously without mathematical modeling. Simulation results show that the proposed method is reasonable to describe demand generation process, and consequently, to forecast demand of spare parts in long-term perspective.

Technical Trends of Computing Infrastructure for Agent Based Modeling & Simulation (에이전트 기반 모델링 및 시뮬레이션을 위한 컴퓨팅 인프라 기술 동향)

  • Jung, Y.W.;Son, S.;Oh, B.T.;Lee, G.C.;Bae, S.J.;Kim, B.S.;Kang, D.J.;Jung, Y.J.
    • Electronics and Telecommunications Trends
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    • v.33 no.5
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    • pp.111-120
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    • 2018
  • Agent-based modeling and simulation (ABMS) is a computational method for analyzing research targets through observations of agent-to-agent interactions, and can be applied to multidimensional policy experiments in various fields of social sciences to support policy and decision making. Recently, according to increasing complexity of society and the rapid growth of collected data, the need for high-speed processing is considered to be more important in this field. For this reason, in the ABMS research field, a scalable and large-scale computing infrastructure is becoming an essential element, and cloud computing has been considered a promising infrastructure of ABMS. This paper surveys the technology trends of ABMS tools, cloud computing-based modeling, and simulation studies, and forecasts the use of cloud-computing infrastructure for future modeling and simulation tools. Although fundamental studies are underway to apply and operate cloud computing in the areas of modeling and simulation, new and additional studies are required to devise an optimal cloud computing infrastructure to satisfy the needs of large-scale ABMS.