• 정보과학회 논문지
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• 제42권12호
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• pp.1503-1521
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• 2015

에이전트 기반 모델링 및 시뮬레이션(Agent-Based Modeling and Simulation)은 기존 시스템 수준에서의 시뮬레이션이 구현할 수 없는 에이전트의 세밀한 행동과 상호작용을 활용하여 시장이나 사회 현상의 모델링에 사용되는 기술이다. 그러나 에이전트 기반 모델링 및 시뮬레이션은 에이전트 기반 시스템의 지식 수준에서의 합리성의 원칙에 기반하여 구현되기 때문에 스스로의 목표 달성을 저해하는 에이전트를 표현할 수 없다[1]. 에이전트 기반 소프트웨어 공학 분야에서는 이러한 한계를 극복하기 위해 사회적 수준에서의 행동 법칙을 통해 해결하였으나[2], 구체적인 개발 방법론은 제시가 되어 있지 않다. 따라서 본 연구에서는 에이전트 기반 소프트웨어 공학 방법론인 트로포스와 사회적 행동 법칙을 결합하여 사회적 행동 법칙을 반영한 새로운 에이전트 기반 모델링 및 시뮬레이션 방법을 제안한다. 이를 위해 각 개발 단계별로 구체적인 과업을 명시하고 과업 별로 생성되는 산출물 분석을 통해 모델링 및 시뮬레이션의 과정을 설명한다. 또한 자가 적응적 스마트 그리드와 군 도메인 시스템에서의 구체적인 적용 사례와 실험을 통해 제안 방법을 검증한다.

• International Journal of Contents
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• 제14권3호
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• pp.7-16
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• 2018

The extent and depth of the event plan determines the scope of pedagogical experience in situations and consequently the quality of immersive learning based on our simulated world. In contrast to planning in conventional narrative-based systems mainly pursuing dramatic interests, planning in virtual world-based pedagogical systems strive to provide realistic experiences in immersed situations. Instead of story plot comprising predetermined situations, our inter-event planning method aims at simulating diverse situations that each involve multiple events coupled via their associated agents' conditions and meaningful associations between events occurring in a background world. The specific techniques to realize our planning method include, two-phase planning based on inter-event search and intra-event decomposition (down to the animated action level); autonomous and independent agents to behave proactively with their own belief and planning capability; full-blown background world to be used as the comprehensive stage for all events to occur in; coupling events via realistic association types including deontic associations as well as conventional causality; separation of agents from event roles; temporal scheduling; and parallel and concurrent event progression mechanism. Combining all these techniques, diverse exogenous events can be derived and seamlessly (i.e., semantically meaningfully) integrated with the original event to form a wide scope of situations providing chances of abundant pedagogical experiences. For effective implementation of plan execution, we devise an execution scheme based on multiple priority queues, particularly to realize concurrent progression of many simultaneous events to simulate its corresponding reality. Specific execution mechanisms include modeling an action in terms of its component motions, adjustability of priority for agent across different events, and concurrent and parallel execution method for multiple actions and its expansion for multiple events.

• 한국미생물생명공학회:학술대회논문집
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• 한국미생물생명공학회 2002년도 학술발표대회
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• pp.32-32
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• 2002

• 한국CDE학회지
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• 제8권1호
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• pp.58-65
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• 2002

Collaborative product commerce(CPC) involves many people working together with heterogeneous and distributed software applications. For such an environment, Workflow Management System(WFMS) can be useful for coordination of people, software agents and processes. It provides diverse services including automatic work muting, project management continuous process improvement and application integration. However, there are some limitations to apply WFMS to CPC environment due to inflexibility and lack of design support facilities. This paper identifies the problems and addresses possible approaches to overcome the difficulties.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2000년도 춘계학술대회 논문집
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• pp.40-44
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• 2000

미리 제작되어 있는 소프트웨어 컴포넌트를 조립하여 소프트웨어 개발공정을 산업화하는 과정인 CBD(Component Based Development)는 Farmer 모델에 의하여 설계된 시스템을 실제로 구현하기 위하여 매우 적합한 개념이다. CBD개념의 도입을 위하여 Farmer 모델이 갖는 개체노드, 측면노드 및 KLB/OLB 등과 같은 객체들이 수행하는 기능에 대한 명세를 나타내는 인터페이스 명세 모델이 반드시 필요하게 된다. 본 논문에서는 Farmer 모델에 의하여 정의된 개념을 컴포넌트 인터페이스 메타모델에서의 개념으로 변형시키는 방안에 대하여 설명하고 있다.

• 한국멀티미디어학회논문지
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• 제10권6호
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• pp.799-806
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• 2007

The prototypical smart environment to support the context-aware interactions between user and ubiquitous campus environment based on multi-agent system paradigm is proposed in this paper. In this model, the dynamic Bayesian is investigated to solicit and organize agents to produce information and presentation assembly process in order to allocate the resources for an unseen task across multiple services in a dynamic environment. The user model is used to manage varying user constraints and user preferences to achieve system's goals.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.433-437
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• 2005

The goal of our research is to develop a formal modeling methodology for supervisory and controlling systems that have artificially intelligent features. This approach is agent-based and central to the development of the model of mobility agent considering reactivity for real-time purpose and deliberation for optimal realization and safe-fail problems for critical systems like Intelligent Transportation Systems by high-level Petri net. By using nets within nets we investigate the concurrency of the system and the agent in one model without losing the needed abstraction, and synchronous channels are introduced to denote the coordination and communication. Finally an example is demonstrated.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제1권1호
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• pp.81-86
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• 2001

In this paper, we investigated the modeling of Bank Asset Management System(BAME) based on intelligent agent. To achieve this goal, we introduced several kinds of agents that show intelligent features. BAMS is a user friendly system and adopts fuzzy converting system and fuzzy matching system that returns reasonable similarity matching results. Generation function of the proximity degree is suggested. Fuzzification of investment type categories and feature values are defined, and generation of proximity degree is also derived. An example of bank asset management system is introduced and simulated. Investment type matching utilizing fuzzy measure is tested and it showed quite reasonable similarity matching results.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권2호
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• pp.215-221
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• 2003

Generally, we want to be searched the newest as well as some appropriate personalized information from the internet resources. However, it is a complex and repeated procedure to search some appropriate information. Moreover, because the user's interests are changed as time goes, the real time modeling of a user's interests should be necessary. In this paper, I propose PREA system that can search and filter documents that users are interested from the World Wide Web. And then it constructs the user's interest model by a modified spreading neural network. Based on this network, PREA can easily produce some queries to search web documents, and it ranks them. The conventional spreading neural network does not have a visualization function, so that the users could not know how to be configured his or her interest model by the network. To solve this problem, PREA gives a visualization function being shown how to be made his interest user model to many users.

• Journal of Information Processing Systems
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• 제1권1호
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• pp.107-111
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• 2005

When a pedagogical agent system aims to provide students with interactive help, it needs to know what knowledge the student has and what goals the student is currently trying to achieve. That is, it must do both assessment and plan recognition. These modeling tasks involve a high level of uncertainty when students are allowed to follow various lines of reasoning and are not required to show all their reasoning explicitly. In this paper, the student model for interactive edutainment applications is proposed. This model is based on Bayesian Networks to expose constructs and parameters of rules and propositions pertaining to game and problem solving activities. This student model could be utilized as the emotion generation model for student and agent as well.