• The Transactions of the Korea Information Processing Society
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• v.7 no.11
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• pp.3417-3426
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• 2000

Most of conventional mobile agent systems requre that the users or the programmer should give the mobile agenl its detail behavioral script for accomplishing the given task. And during its runtime, such mobile agents just behave acording to the fixed script given by its user. Therefore it is impossible that conventional mobile agents autonomously build their own plans and execute. There in considering their ultirnale goals and the dynamic world states. One way to overcome such limtations of conventional mobile agent systems is to develop an mielligent mobile agent system ombedding a reactive planner.In this paper, we design both a modelof agent inobility and a model of inter-agent commuication based upon the representative reactive planning agent architecture called JAM. An then we develop an intelligent mobile agent system with planing capability, IMAS, by implementing addtional basic actions for agent moves and inter-agent comunication within JAM according too the predevined models. Unlike conventional mobile agents, IMAS agents can be able to adapt, their behaviors to the dynamic changes of their anvironment as well as build their own plans autonomously. Thus IMAS aents can snow higher flexibility and robustness than the conventional ones.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.202-205
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• 2003

본 논문은 모바일 멀티 에이전트프레임워크를 이용한 분산환경에서의 개인 디지털 도서관 서비스(PLS) 시스템을 제안하였다. 기존의 에이전트 프레임워크와 차별적으로 모바일 시스템과 분산 처리 시스템을 조합한 시스템을 사용하였으며 멀티 에이전트간 협상 알고리즘과 스케줄링 방법을 개발함으로써 프레임워크가 효율적으로 동작하도록 하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.10 no.1
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• pp.49-53
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• 2010

e-learning and m-learning have some problems that data transmission frequently discontinuously, communication cost increases, the computation speed of mass data drops, battery limitation in the mobile learning environments. In this paper, we propose the PULIMS for u-learning systems. The proposed system intellectualize the education environment using intelligent mobile agent, supports the customized education service, and helps that learners feasible access to the education information through mobile phone. We can see the fact that the efficience of proposed method is outperformed that of the conventional methods. The PULIMS is new technology that can be used to learn whenever and wherever learners want in Ubiquitous education environment.

• Industrial Engineering and Management Systems
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• v.8 no.3
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• pp.181-193
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• 2009

This paper presents a framework for controlling mobile multiple robots connected by communication networks. This framework provides novel methods to control coordinated systems using mobile agents. The combination of the mobile agent and mobile multiple robots opens a new horizon of efficient use of mobile robot resources. Instead of physical movement of multiple robots, mobile software agents can migrate from one robot to another so that they can minimize energy consumption in aggregation. The imaginary application is making "carts," such as found in large airports, intelligent. Travelers pick up carts at designated points but leave them arbitrary places. It is a considerable task to re-collect them. It is, therefore, desirable that intelligent carts (intelligent robots) draw themselves together automatically. Simple implementation may be making each cart has a designated assembly point, and when they are free, automatically return to those points. It is easy to implement, but some carts have to travel very long way back to their own assembly point, even though it is located close to some other assembly points. It consumes too much unnecessary energy so that the carts have to have expensive batteries. In order to ameliorate the situation, we employ mobile software agents to locate robots scattered in a field, e.g. an airport, and make them autonomously determine their moving behaviors by using a clustering algorithm based on the Ant Colony Optimization (ACO). ACO is the swarm intelligence-based methods, and a multi-agent system that exploit artificial stigmergy for the solution of combinatorial optimization problems. Preliminary experiments have provided a favorable result. In this paper, we focus on the implementation of the controlling mechanism of the multi-robots using the mobile agents.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.1
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• pp.104-109
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• 2005

Context-awareness is an important element that can provide service of good quality according to users' surrounding environment and status in ubiquitous computing environment. Information gathering tools for context-awareness use small size mobile devices which have easy movement and a mobile agent in mobile device. Now, Mobile agents are consuming much times and expense to collect and recognize each users' context information. Therefore, needs research about structure for users' context information awareness in early time to reduce mobile agent's load. This paper proposes a P2P mobile agent structure that mikes filtering techniques and a P2P agent in mobile agent. The proposed structure analyzes each user's context information in same area, and groups users who have similar preference degree. Grouped users share information using a P2P mobile agent. Also this structure observes and learns to continue on users' action and service, and measures new interrelation.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.151-155
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• 2001

Mobile agent technology has been the subject of much attention in the last few years, mainly due to the proliferation of distributed software technologies combined with the distributed AI research field. In this paper, we present a design of communication networks of agents that cooperate with each other for forwarding messages to the specific mobile agent in order to make the overall system location transparent. In order to make the material accessible to general intelligent system researchers, we present the general ideas abstractly in terms of the graph theory. In particular, a proxy network is defined as a directed acyclic graph satisfying some structural conditions. In turns out that the definition ensures some kind of reliability of the network, in the sense that as long as at most one proxy agent is abnormal, there agent exists a communication path, from every proxy agent to the target agent, without passing through the abnormal proxy. As the basis for the implementation of this scheme, an appropriate initial proxy network is specified and the dynamic nature of the network is represented by a set of graph transformation rules. It is shown that those rules are sound, in the sense that all graphs created from the initial proxy network by zero or more applications of the rules are guaranteed to be proxy networks. Finally, we will discuss some implementation issues.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.198-201
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• 2001

Recently the wireless-internet has been spreading extensively. People are spending a large part of their time gaining access to information using a mobile device. With the rapid growth of on-line Electronic Commerce, the use of mobile devices creates a new paradigm that provides users with location-independent real time service. Although this new paradigm does have some advantages, limited process speed, low bandwidth, the low battery capacity of mobile devices, and a high rate of wireless network errors causes many overhead expenses during service time with the server. In this paper, we suggest an autonomous service delivery system, which provides mobile agent capability to users that cannot maintain a connection. We have developed the system based on java mobile agent technology. Using this system, we can provide more effective service to users when the user is sending requirements for service through a mobile device that has limited resources. Furthermore we can manage the contact server dynamically when new services are added.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.156-161
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• 2007

본 연구는 모바일 환경에서의 Character Intelligent Agent (CIA)의 사용 행태를 연구하여 CIA가 나아갈 방향을 제시하는 것을 목적으로 한다. 이를 위해 문헌연구를 진행하고 이를 바탕으로 사용자와의 1대 1 심층 개인 인터뷰를 실시하여 사용자와 CIA의 상호작용 시 영향을 주는 행동, 대화, 말투 등의 사용자와 CIA의 요소를 확인하였다. 여기서 더 나아가 CIA를 대하는 사용자의 인식이 생물과 무생물로 나누어 지고, 이는 다시 사람과 애완동물, 기계와 장난감으로 나누어 지며 이에 따라 사용자가 CIA를 사용하는 행태에 차이를 보이는 것을 알아내었다. 특히, 사람으로 인식하는 사용자의 행태와 기계로 인식하는 사용자의 행태가 더 많은 차이를 나타내었으며, 사람으로 인식하는 행태가 캐릭터에 대한 긍정적 요소를 더 많이 포함하고 있다는 것을 알아내었다. 또한 추후 연구를 통해 각 요소 간의 관계를 파악하는 것을 목표로 한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.176-180
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• 1998

We may gaze at some peculiar scenes of flocking of birds and fishes. This paper demonstrates that multiple agent mobile robots show complex behaviors from efficient and strategic rules. The simulated flock are realized by a distributed behavioral model and each mobile robot decides its own motion as an individual which moves constantly by sensing the dynamic environment.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.108-114
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• 2019

In this paper, we propose an intelligent vocabulary recommendation agent that automatically provides vocabulary corresponding to game-based learners' needs and requirements in the mobile education augmented reality game environment. The proposed agent reflects the characteristics of mobile technology and augmented reality technology as much as possible. In addition, this agent includes a vocabulary reasoning module, a single game vocabulary recommendation module, a battle game vocabulary recommendation module, a learning vocabulary list Module, and a thesaurus module. As a result, game-based learners' are generally satisfied. The precision of context vocabulary reasoning and thesaurus is 4.01 and 4.11, respectively, which shows that vocabulary related to situation of game-based learner is extracted. However, In the case of satisfaction, battle game vocabulary(3.86) is relatively low compared to single game vocabulary(3.94) because it recommends vocabulary that can be used jointly among recommendation vocabulary of individual learners.