• Title/Summary/Keyword: MultiAgent

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Multi-agent-based approach for service discovery in smart meeting spaces (지능형 협업환경에서 서비스 발견을 위한 다중 에이전트 시스템 적용 방법)

  • Bae, Chang-Hyeok;Han, Sang-Woo;Kim, Jong-Won
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.669-673
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    • 2008
  • The service discovery method is an important technology finding and offering users' desirable services in smart meeting spaces. Extensive researches of the service discovery methods are achieved: SSDP(simple service discovery protocol) of UPnP(universal plug & play) and so on. However, there are several limitations to satisfy the requirements of service discovery in smart meeting spaces. In this paper, the requirements of service discovery in smart meeting spaces are investigated and the service discovery method based on multi-agent system is proposed in the practical aspect. Additionally, we explore the possibilities of the proposed approach by implementing a couple of services belonging to the smart meeting spaces.

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BDI Architecture Based on XML for Intelligent Multi-Agent Systems

  • Lee, Sang-wook;Yun, Ji-hyun;Kim, Il-kon;Hune Cho
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.511-515
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    • 2001
  • Many intelligent agent systems are known to incorporate BDI architecture for cognitive reasoning. Since this architecture contains all the knowledge of world model and reasoning rule, it is very complex and difficult to handle. This paper describes a methodology to design and implement BDI architecture, BDIAXml based on XML for multi-agent systems. This XML-based BDI architecture is smaller than any other BDI architecture because it separates knowledge for reasoning from domain knowledge and enables knowledge sharing using XML technology. Knowledge for BDI mental state and reasoning is composed of specific XML files and these XML files are stored into a specific knowledge server. Most systems using BDIAxml architecture can access knowledge from this server. We apply this BDIAXml system to domain of Hospital Information System and show that this architecture performs more efficiently than other BDI architecture system in terms of knowledge sharing, system size, and ease of use.

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Admission Consultation System based on Intelligent Multi-Agent System (지능형 멀티 에이전트 시스템 기반의 진학 상담 시스템)

  • Choi Dong-Oun;Kim Soo-Yong
    • Journal of Intelligence and Information Systems
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    • v.12 no.1
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    • pp.43-55
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    • 2006
  • Cyber education fields have been changed a lot with the internee development. One of them is the field of consultation for university admission. As for the business of university admission, there were two ways applicants handed in their applications directly to school which they applied to and to each place to receive applications or sent them through FAX. Recently, highlighted is the internee environment to receive the application for admission which integrated organically the two ways. This paper aims to design and implement a multi-consulting-agent system having intelligence which helps applicants make their right applications for colleges or universities through internet system after guiding a proper department to them.

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Effective Coordination Method of Multi-Agent Based on Fuzzy Decision Making (퍼지 의사결정에 기반한 멀티에이전트의 효율적인 조정방안)

  • Ryu, Kyung-Hyun;Chung, Hwan-Mook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.1
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    • pp.66-71
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    • 2007
  • To adapt environment changing high speed and improve rapidly response ability for variation of environment and reduce delay time of decision making inlet agents, the derivation of user's preference and alternative are required. In this paper, we propose an efficient coordination method of multi-agents based on fuzzy decision making with the solution proposed by agents in the view of Pareto optimality. Our method generates the optimal alternative by using weighted value. We compute importance of attributes of winner agent, then can obtain the priorities lot attributes. The result of our method is analyzed that of Yager's method.

Bluetooth Network for Group Behavior of Multi-Agent Robotic System

  • Seo, Sang-Wook;Ko, Kwang-Eun;Hwang, Se-Hee;Jang, In-Hun;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.1
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    • pp.17-21
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    • 2007
  • Multi-Agent Robotic System (MARS) is a system that independent autonomous robots in the restricted environments infer their status from pre-assigned conditions and operate their jobs through the cooperation with each other. In the MARS, a robot contains sensor part to percept the situation around themselves, communication part to exchange information, and actuator part to do given work. Especially, in order to cooperate with other robots, communicating with other robots is one of the essential elements. Because Bluetooth has many advantages such as low power consumption, small size module package, and various standard protocols, Bluetooth is rated as one of the efficient communicating technologies which can apply to small-sized robot system. In this paper, we will develop Bluetooth communicating system for autonomous robots. For the purpose, the communication system must have several features-separated module, flexible interface. We will discuss how to construct and what kind of procedure to develop the communicating system.

Investigating the Effect of Both Team Diversity and Task Difficulty on Team Creativity : Multi-Agent Simulation Approach (팀 다양성과 과업난이도가 팀 창의성에 미치는 영향 : 다중 에이전트 시뮬레이션 접근방법을 중심으로)

  • Chae, Seong Wook;Seo, Young Wook;Lee, Kun Chang
    • Korean Management Science Review
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    • v.32 no.2
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    • pp.111-124
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    • 2015
  • In the management literature, it has been widely accepted among both researchers and practitioners that the level of team creativity is significantly related to the organizational performance. Besides, researchers posited with confidence that team diversity and task difficulty would affect team creativity through team members' activities of exploration and exploitation. However, empirical approaches to proving this belief suffered from lack of real data and proper methods as well. To tackle the research void like this, we propose a multi-agent simulation (MAS) mechanism. By adopting a set of parameters which validity were proven in the related literature, we conducted a series of experiments in the environment of the MAS platform named NetLogo. There sults suggest that managers can differentiate team diversity strategies according to task difficulty. In the case of a difficult task, managers need to increase team diversity so that their teams can maximize team creativity through rigorous exploration and exploitation. It is desirable to maintain an average level of team diversity when performing an easy task.

A design of MASBM (Multi-Agent Service Bundle Manager) architecture for Smart Space Middleware (Smart Space Middleware를 위한 MASBM (Multi-Agent Service Bundle Manager) 구조 설계)

  • Son, Min-Woo;Shim, Ghi-Taek;Lee, Ju-Yeon;Shin, Dong-Il;Shin, Dong-Kyoo
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11b
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    • pp.625-627
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    • 2005
  • 사용자가 시간과 장소에 구애 받지 않고 컴퓨터를 자연스럽고 효율성 있게 사용할 수 있는 환경을 의미하는 유비쿼터스 컴퓨팅은 네트워크와 센서(Sensor), smart devices, 무선 통신과 smart middleware(UPnP(Universal Plug and Play), Jini, HAVi(Home Audio Video Interoperability) IEEE 1394, PLC (Power Line Communication) 등) 등을 기반으로 Smart Space를 만들 수 있다. 그러나 여러 종류의 가전제품들이 늘어나고 수많은 사용자들의 요구를 충족시키기엔 smart middleware의 단일 제어로는 처리가 불가능하여 본 논문에서는 이기종간의 미들웨어간의 상호작용을 위해 개발된 OSGi(Open Service Gateway Initiative) Spec. 3에서 제공하는 서비스 플랫폼(Service Platform)을 기반으로 사용자/디바이스 관리 및 분산 시스템 등의 취약점들을 보완하여 Smart Space상에서 효율적인 서비스 번들을 관리하기 위해 MASBM(Multi-Agent Service Bundle Manager)을 제안하였다.

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Controller Design of Takagi-Sugeno Fuzzy Model-Based Multi-Agent Systems for State Consensus (타카기-수게노 퍼지모델 기반 다개체 시스템의 상태일치를 위한 제어기 설계)

  • Moon, Ji Hyun;Lee, Ho Jae;Kim, Do Wan
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.2
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    • pp.133-138
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    • 2013
  • This paper addresses a state consensus controller design technique of Takagi-Sugeno fuzzy model-based multi-agent systems in a continuous-time domain. We express the interconnection topology among the agents through graph theory. The design condition is represented in terms of linear matrix inequalities. Numerical example is provided to demonstrate the effectiveness of the proposed method.

T-S Fuzzy Formation Controlling Phugoid Model-Based Multi-Agent Systems in Discrete Time (이산시간에서의 장주기모델에 관한 다개체시스템의 T-S 퍼지 군집제어)

  • Moon, Ji Hyun;Lee, Jaejun;Lee, Ho Jae;Kim, Moon Hwan
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.4
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    • pp.308-315
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    • 2016
  • This paper addresses a formation control problem for a phugoid model-based multi-agent system in discrete time by using a Takagi-Sugeno (T-S) fuzzy model-based controller design technique. The concerned discrete-time model is obtained by Euler's method. A T-S fuzzy model is constructed through a feedback linearization. A fuzzy controller is then designed to stabilize the T-S fuzzy model. Design condition is presented in the linear matrix inequality format.

Mean Field Game based Reinforcement Learning for Weapon-Target Assignment (평균 필드 게임 기반의 강화학습을 통한 무기-표적 할당)

  • Shin, Min Kyu;Park, Soon-Seo;Lee, Daniel;Choi, Han-Lim
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.4
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    • pp.337-345
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    • 2020
  • The Weapon-Target Assignment(WTA) problem can be formulated as an optimization problem that minimize the threat of targets. Existing methods consider the trade-off between optimality and execution time to meet the various mission objectives. We propose a multi-agent reinforcement learning algorithm for WTA based on mean field game to solve the problem in real-time with nearly optimal accuracy. Mean field game is a recent method introduced to relieve the curse of dimensionality in multi-agent learning algorithm. In addition, previous reinforcement learning models for WTA generally do not consider weapon interference, which may be critical in real world operations. Therefore, we modify the reward function to discourage the crossing of weapon trajectories. The feasibility of the proposed method was verified through simulation of a WTA problem with multiple targets in realtime and the proposed algorithm can assign the weapons to all targets without crossing trajectories of weapons.