• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.577-579
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• 2004

Mobile IP는 이동노드(Mobile node)들에게 이동성 서비스를 지원하기 위해 제안된 것으로 이동노드가 자신의 IP주소를 이용하여 현재 위치에 관계없이 이동성 에이전트(mobility Agent)메 등록함으로 인터넷에 접근 할 수 있는 프로토콜이다. 애드 혹 네트워크는 하부구조 없이 이동노드들 끼리 패킷을 교환 할 수 있는 네트워크이다. 본 논문에서는 Mobile IP의 에이전트가 주기적으로 에이전트 광고 메시지를 전달하여 자신의 서비스 영역 내부에 있는 애드 혹 네트워크의 이동노드들에게 인터넷에 접속할 수 있는 MAAM (Mobility Agent Advertisement Mechanism) 및 AMAAM(Aggregation based Mobility Agent Advertisement Mechanism)을 제안한다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.4_5
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• 2009

A new protection coordination algorithm in Multi-Agent based distribution automation system is proposed in this paper. Distribution network protection coordination is acted by normal state distribution operation. But, in more and more complex distribution network structure, it has a big problem that central server processed all measurement data, coordination setting and controls for operation. So, a algorithm to change coordination setting is proposed automatically in terminal devices which Recloser and OCR to include Multi-Agent concepts in distribution network.

• International Journal of Contents
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• v.1 no.1
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• pp.35-39
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• 2005

This research employs the intelligent application form agent to help people to locate the information they would want from Internet quickly. Based on Internet GUI environment, this user-friendly online application form program uses the agent concept to provide the customized, individual information to the users who registered their application form answers, to the extent of increasing the interest and participation of users. The system helps along with the decision making process, by quickening the information gathering process.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.258-260
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• 2006

In this paper, we designed a embedded system that will perform a primary role of Tangible Space implementation. This hardware includes function of image capture through camera interface, image process and sending off image information by LAN (local area network) or WLAN(wireless local area network). We define this hardware as a network based Visual Agent Platform for Tangible Space

• Journal of the Korea Computer Industry Society
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• v.5 no.3
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• pp.363-370
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• 2004

The FIPA community is developing a range of agent-related standards, of which the centerpiece is an Agent Communication Language (ACL). This language includes a number of communicative acts explicitly intended to support negotiation. In this paper, we consider a multi-agent environment that exchanges the resources for achieving agents' goals, represent agents as computational logic-based formalizations, and describe a simple ACL for negotiation using logic-based agents. In particular, we introduce and compare some communication acts that enable counter-agents to know the reason of request(proposal) or the reason of rejection(refusal).

• Journal of the Korea Computer Industry Society
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• v.3 no.8
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• pp.1049-1062
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• 2002

As the distributed resources in the networks have become increasingly popular, the accesses to these resources having been activated. Especially, the accesses to the distributed resources using the mobile agent technologies provide the mechanisms supporting mobility with mobile users as well as the dynamic accesses to the resources in the fixed networks. Proxy-based mobile agent model is defined as mobile agent network model which allocates the hierarchical domains to the distributed resources changed dynamically, assigns one proxy server for each domain, and promotes the management and the cooperation of the mobile agents. In this paper, we introduce the architecture and the execution scenario for proxy-based mobile agent model which is suitable for the hierarchical management domains. In simulation, we evaluate the proxy server's route optimization functionality and the performance reducing execution time of the mobile agents.

• The KIPS Transactions:PartD
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• v.8D no.3
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• pp.211-220
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• 2001

A planning agent supporting customers plays a distinguished role in internet marketplaces. Although several internet marketplaces have been built with the maturity of tools based on internet and distributed technologies, there has been no actual study up to now with respect to the implementation of the planning agent. This paper describes the design and implementation of an XML-based planning agent for internet marketplaces. Since implementing internet marketplaces encounter problems similar to those in other fields such as multidatabase or workflow management systems, we first compare those features. Next we identify functions and roles of the planning agent. The planning agent is implemented using COM+, ASP, and XML, and demonstrated using real data used in an existing system.

• The KIPS Transactions:PartB
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• v.8B no.6
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• pp.601-608
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• 2001

The automated assignment of multiple tasks to executing agents is a key problem in the area of multi-agent systems. In many domains, significant savings can be achieved by reallocating tasks among agents with different costs for handling tasks. The automation of task reallocation among self-interested agents requires that the individual agents use a common negotiation protocol that prescribes how they have to interact in order to come to an agreement on "who does what". In this paper, we introduce the multi-agent Traveling Salesman Problem(TSP) as an example of task reallocation problem, and suggest the Vickery auction as an interagent negotiation protocol for solving this problem. In general, auction-based protocols show several advantageous features: they are easily implementable, they enforce an efficient assignment process, and they guarantce an agreement even in scenarios in which the agents possess only very little domain-specific Knowledge. Furthermore Vickrey auctions have the additional advantage that each interested agent bids only once and that the dominant strategy is to bid one′s true valuation. In order to apply this market-based protocol into task reallocation among self-interested agents, we define the profit of each agent, the goal of negotiation, tasks to be traded out through auctions, the bidding strategy, and the sequence of auctions. Through several experiments with sample multi-agent TSPs, we show that the task allocation can improve monotonically at each step and then finally an optimal task allocation can be found with this protocol.

• Journal of Korea Multimedia Society
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• v.12 no.12
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• pp.1819-1826
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• 2009

To enhance the automatic performance of existing predicting and planning algorithms that require a predefined probability of the states' transition, this paper proposes a multiple sequence generation system. When interacting with unknown environments, a virtual agent needs to decide which action or action order can result in a good state and determine the transition probability based on the current state and the action taken. We describe a sequential behavior generation method motivated from the change in the agent's state in order to help the virtual agent learn how to adapt to unknown environments. In a sequence learning process, the sensed states are grouped by a set of proposed motivation filters in order to reduce the learning computation of the large state space. In order to accomplish a goal with a high payoff, the learning agent makes a decision based on the observation of states' transitions. The proposed multiple sequence behaviors generation system increases the complexity and heightens the automatic planning of the virtual agent for interacting with the dynamic unknown environment. This model was tested in a virtual library to elucidate the process of the system.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.629-641
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• 2021

Crowd behavior simulations have been studied to further accelerated and refined by parallelism by inducing agent-interacting forces into the image field representing the forces of attraction and repulsion. However, it was difficult to consider rapidly changing environments such as fire situations in buildings because texture images must be generated in advance simulation starts and simulations can only be performed in 2D spaces. In this paper, we propose a crowd agent behavior simulation method based on agent's 3D affordance field for flexible agent behavior in variable geomorphological environments in 3D space. The proposed method generates 3D affordance field related to agents and sensors in 3D space and defines the agent behavior in 3D space for the crowd behavior simulation based on an image-inducing field to a 3D space. Experimental results verified that our method enables the development of large-scale crowd behavior simulations that are flexible to various fire evacuation situations in 3D virtual spaces.