• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.355-363
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• 2012

The Integration of multi-agent architecture and blackboard architecture may lead to a new architecture to cope with new application areas which need some good and strong points of both the architectures. This paper suggests an integrated architecture of blackboard architecture and multi-agent architecture by using event-based implicit invocation pattern and a blackboard event detection mechanism based on Rete network. From the viewpoints of weak couplings of system components and flexible control of knowledge source agents, it is desirable to use the event-based implicit invocation pattern in the integrated architecture. But the pattern itself does not concern the performance of the architecture, and it is very critical to the performance of the integrated architecture to detect efficiently the blackboard events which can activate knowledge source agents which can contribute to the problem-solving processes of the integrated architecture. The integrated architecture suggested in this paper uses a blackboard event detection mechanism based on Rete network to detect efficiently blackboard events which can activate knowledge source agents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.888-894
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• 2011

Blackboard architecture was designed as a means for dealing with ill-defined and complex problems. In order to improve the efficiency of the systems using blackboard architecture, this paper proposes a mechanism for fast detection of knowledge source activations which can contribute potentially to the problem solving of blackboard systems, whenever the state of blackboard is changed. The proposed mechanism uses a Rete network generated from the activation conditions subscribed by all knowledge sources to process the pattern matching between blackboard data and the activation conditions efficiently.

• Journal of the Korea Society for Simulation
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• v.17 no.2
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• pp.83-90
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• 2008

We introduce the coordination among the intrusion detection agents by BBA(BlackBoard Architecture) that belongs to the field of distributed artificial intelligence. The system which uses BBA for the coordination can be easily expanded by adding new agents and increasing the number of BB(BlackBoard) levels. Several simulation tests performed on the targer network will illustrate our techniques. And this paper applies PBN(Policy-Based Network) to reduce the false positives that is one of the main problems of IDS. The performance obtained from the coordination of intrusion detection agent with PBN is compared against the corresponding non PBN type intrusion detection agent. The application of the research results lies in the experimentation of the various security policies according to the network types in selecting the best security policy that is most suitable for a given network.

• The Transactions of the Korea Information Processing Society
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• v.7 no.1
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• pp.12-19
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• 2000

In the development of a production process scheduling system a collaboration method must be defined for the cooperation among submodules within the system. The blackboard architecture is exploited for solving the collaboration problem, which is one of the problem solving architecture that belongs to the distributed artificial intelligence. The dynamic states of the problem solving processes are presented in the hierarchically constructed shared working memory called as a blackboard. The communication for the collaboration is done through the blackboard. The problem solving steps are contained in the global controller, one of a component that consists the blackboard architecture, as knowledge. The global controller activates proper submodules based on the knowledge. By applying the blackboard architecture the collaboration problem among submodules in the grating production process scheduling system (GPSS) has been solved as well as the system became adaptable to the future modifications and expansions.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.05a
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• pp.220-225
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• 2000

컴퓨터 기술이 발전하고, 널리 보급됨에 따라 컴퓨터와 사용자간의 인터페이스가 인간 친화적으로 발전하고 있다. 현재 진행되고 있는 사용자 친화적인 인터페이스 기술로는 지능성뿐 아니라 감정을 가지는 캐릭터 에이전트가 있다. 본 논문은 캐릭터 에이전트의 감정을 생성하고 표현하는 방법에 초점을 두고자 한다. 먼저, 캐릭터가 가질 수 잇는 감정에 대한 타입을 정의하고 이들의 관계를 나타낸 계층 구조를 정의하였다. 본 논문은 효율적인 감정 추론을 모형화 하기 위해서 블랙보드 기반의 다단계 인지 모형을 제안한다. 첫 단계는 감정을 이끌어 내는 외부 환경을 평가 처리하는 메타 인터프리터이다. 둘째 단계는 이러한 메타 인터프리터를 통하여 얻은 결과를 이용하여 감정을 추론하고 생성하는 분야 인터프리터이다. 셋째 단계는 감정추론의 진행 중에 발생하는 모든 동적 상태를 보유하며, 감정추론을 돕는 블랙보드이다. 블랙 보드 기반의 다단계 인지 모형에서 추론된 여러 감정들은 계층구조에 의하여 추상화 과정을 거쳐 캐릭터의 행동으로 표현하게 된다.

• Korean Journal of Cognitive Science
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• v.5 no.2
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• pp.47-73
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• 1994

In this paper, a blackboard-based road image understanding system is implemented. The 7 useful information which organized by the hierarchical manner are stored in the blackboard system. The 6 Knowledge source modules and the blackboard make the communications under the supervision of the control module. For a scene, each hypothesis is generated and then verified for every meaningful object. On the simulation results, the correct recognition ratio can be reached out 90%. It shows that the extraction of road information for the autonomous navigation can be obtained using the blackboard architecture.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.856-862
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• 2003

CPFR(Collaborative Planning Forecasting and Replenishment)은 기존의 생산관리 패러다임(Paradigm)을 탈피하는 새로운 협업적 생산 극대화 시키는 데 목적을 두고 있다. CPFR의 핵심은 정보 공유를 기반으로 하는 공급망상 참여 기업간의 협업이며, 이는 매우 불확실한 시장 상황 하에서 끊임없는 발생하는 예외사항들을 처리하는데 매우 중요하다. 본 연구에서는 참여 기업간의 협업을 가능하게 하는 블랙보드 기반 협업 에이전트(Blackboard Based Collaboration Agent) 구조를 제시한다. 또한 화행 이론(Protocol)을 제시하여 참여 기업간의 협동 과정을 제어하는 방식을 구현한다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2
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• pp.454-460
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• 2000

In this paper, an architecture is suggested which efficiently detects intrusions in network environments. In the architecture, the Blackboardbased agent coordinates opinions of several independent agents which are performing unique functions, by resolving conflicts and reconfirming notices of intrusion. In the simulation, it was found that conventional agents judge simple resource access activities as 'intrusion' while blakcboard-based agent reserves the judgement until additional information confirms notices of independent agents. Reconfirmation process based on additional questioning will roduce positive errors.

• Journal of the Korea Society for Simulation
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• v.17 no.3
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• pp.9-18
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• 2008

Unlike conventional researches, we are able to i) compare the fuzzy logic based BBA with non-fuzzy BBA for verifying the effective performance of the proposed fuzzy logic application ii) dynamically respond to the intrusion using BBA whereas the previous IDS was responding statically and iii) expect that this would be a cornerstone for more practical application researches (analyzing vulnerability and examining countermeasures, etc.) of security simulation. Several simulation tests performed on the targer network will illustrate our techniques. And this paper applies fuzzy logic to reduce the false negative that is one of the main problems of IDS. Intrusion detection is complicated decision-making process, which generally involves enormous factors about the monitored system. Fuzzy evaluation component model, which is a decision agent in the distributed IDS, can consider various factors based on fuzzy logic when an intrusion behavior is detected. The performance obtained from the coordination of intrusion detection agent with fuzzy logic is compared against the corresponding non fuzzy type intrusion detection agent. The results of these comparisons allow us to evaluate a relevant improvement on the fuzzy logic based BBA.

• Journal of the Korea Computer Industry Society
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• v.5 no.2
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• pp.235-242
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• 2004

As e-business being rapidly developed the importance of security is on the rise in network. Intrusion detection systems which are a core security system detect the network intrusion trial. As intrusions become more sophisticated, it is beyond the scope of any one IDS to deal with them. Thus we placed multiple IDS agents in the network and the information helpful for detecting the intrusions is shared among these agents to cope effectively with attackers. Each agent cooperates through the BBA (Black Board Architecture) and CNP (Contract Net Protocol) for detecting intrusions. In this paper, we propose the effective method comparing the blackboard architecture to contract net protocol.