• Journal of Institute of Control, Robotics and Systems
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• v.20 no.12
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• pp.1225-1230
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• 2014

This paper investigates the group average-consensus and group formation-consensus problems for first-order multi-agent systems. The control protocol for group consensus is designed by considering the positive adjacency elements. Since each intra-group Laplacian matrix cannot be satisfied with the in-degree balance because of the positive adjacency elements between groups, we decompose the Laplacian matrix into an intra-group Laplacian matrix and an inter-group Laplacian matrix. Moreover, average matrices are used in the control protocol to analyze the stability of multi-agent systems with a fixed and undirected communication topology. Using the graph theory and the Lyapunov functional, stability analysis is performed for group average-consensus and group formation-consensus, respectively. Finally, some simulation results are presented to validate the effectiveness of the proposed control protocol for group consensus.

• International Journal of Contents
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• v.16 no.3
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• pp.51-65
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• 2020

Narratives arouse diverse and rich affective responses to recipients, and this is one of the reasons why narratives are universal and popular. Computational studies on narratives have established a formal model or system of the affective response based on the theory in psychology or media research, and have analyzed or generated a narrative that can evoke a specific affective response. In this paper, we propose a new computational model that can detect the affective response expected to appear in the narrative based on the narrative agent's knowledge. First, we designed a narrative representation model that can elaborately express the event structure and the agent's knowledge as well. Additionally, an analysis method was proposed to detect the three affective responses and the related situational information. Then, we validated the model through a case study about an actual movie narrative. Through the case study, we confirmed that the model captures the affective responses of the audience. The proposed model can be effectively used for the narrative analysis and the creation that must consider the affective responses of the recipient.

• Journal of the Korean Society of Clothing and Textiles
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• v.9 no.3
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• pp.71-78
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• 1985

This research is designed to systemize the protection theory as well as to supplement the missing theory by organizing various studies on the protective functions of celothes by domestic and foreign scholers of clothing. Human environments is classified two standpoints : (1) Physical environments, and (2) man built psychological environments including socio-physical environments, socio-biological environments, behavioral environments, socio-psychological environments and institution environments. Clothes acting as a physical protection might be of (1) extreme air temperature: Parka; (2) high relative humidity: raincoat; (3) air movement: windbreaker; (4) radiation: space suit; (5) atmospheric pressure: deep sea diver suit; (6) mechanical agent: bullet proof vest; (7) physical agent: (8) chemical agent: (9) biological agent: surgeon's gown, cap, and mask. Also dresses act to support the body comfort, health and the well-being; corset for bad back patient, wrist band for people with weak wrist, bottom half of pressure suit for people with low blood pressure. Clothes acting as a psychological protection might be of (1) influence of magic and of spirits: (2) moral danger; (3) the general unfriendliness of the world as a whole; a reassurance against the lack of love. Clothes should provide the maximum of satisfaction in accordance with the full recognition of reality. The reality should aim at the formulation of general laws concerning the most pleasing forms, colors, and styles to suit. The complex physiological anatomical and psychological aspects of individual personalities.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.1
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• pp.29-34
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• 2016

One of the most important aspects of the research on multi-agent systems is the definition of agent communication languages(ACLs) and the specification of a proper formal semantics of ACLs. In this paper, we propose an illocutionary effect-based FIPA-ACL semantics which overcomes the two traditional semantic approaches. The key idea of this new semantics is based on the semantic concepts of success and satisfaction conditions of illocutionary acts in speech act theory, and the common ground theory-based framework. As case studies using this new semantics, we define the primitive speech acts of FIPA-ACL such as inform and request. For the strengths of the proposed approach we illustrate our new semantics on an e-commerce agent purchase negotiation. Also, we compare this approach with two traditional semantic approaches for ACLs.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.613-622
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• 2001

As logistic environment of digital resources is rapidly changing, protection of the intellectual property for digital resources has been recognized as one of important issues. Digital Rights Management (DRM) has taken much interests from ISP, authors and publishers of digital content as an integrated approach to create a reliable environment for access and the use of digital resource. In this paper we proposed a dynamic digital rights management system based on adaptive agent theory (ARPA : Adaptive Resource Protection Agent) to address problems facing contemporary DRM approaches : static rights management problem solving and strengthened monitoring/tracking system. We introduced a dynamic mission control scheme to realize dynamic digital rights management. We incorporated adaptive agent theory to implement on-and off-line tracking and protection. Through the implementation of protype system, the process, the process dynamic digital rights protection will be demonstrated.

• 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.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.17-32
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• 2020

This study analyzes the regulatory issues of stakeholders, the firm, the government, and the individual, in the data industry using the principal-agent theory. While the importance of data driven economy is increasing rapidly, policy regulations and restrictions to use data impede the growth of data industry. We applied descriptive case analysis methodology using principal-agent theory. From our analysis, we found several meaningful results. First, key policy actors in data industry are data firms and the government among stakeholders. Second, two major concerns are that firms frequently invade personal privacy and the global companies obtain monopolistic power in data industry. This paper finally suggests policy and strategy in response to regulatory issues. The government should activate the domestic agent system for the supervision of global companies and increase data protection. Companies need to address discriminatory regulatory environments and expand legal data usage standards. Finally, individuals must embody an active behavior of consent.

• International Commerce and Information Review
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• v.11 no.3
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• pp.363-390
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• 2009

This study investigates the role of private participation in FTA Negotiation in case of US, Mexico and Japan. We utilize Putnam(1988)'s two stage negotiation model, Schelling Conjecture and Principal-Agent(P-A) theory to understand the role of private sector in FTA Negotiation. Those theories are useful to understand the behavior and interaction of key players such as private sector, congress and government in FTA negotiation. Putnam(1988)'s two stage negotiation model divides the FTA negotiation process into two processes: the external negotiation with foreign country and domestic negotiation with domestic interest group. Principal-Agent(P-A) theory provides the theoretical foundation of Putnam's two stage negotiation model, which is that principal's interest is not identical to the interest of Agent. We showed that the private sector and congress play an important role in FTA negotiation in United States. In case of Mexico, the private sector and government occupy the dominant position in FTA negotiation. In particular, the cooperation of industry and government has been successfully established via COECE in Mexico. In contrast to these countries, the role of private participation in trade policy is relatively low in Japan and Korea.

• International Journal of Contents
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• v.5 no.1
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• pp.51-55
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• 2009

In this paper, we present a structure of personalized e-Learning system to study for a test formalized by uniform multiple-choice using on/off line mixed estimations as is the case of Driver :s License Test in Korea. Using the system a candidate can study toward the license through the Internet (and/or mobile instruments) within the personalized concept based on IRT(item response theory). The system accurately estimates user's ability parameter and dynamically offers optimal evaluation problems and learning contents according to the estimated ability so that the user can take possession of the license in shorter time. In order to establish the personalized e-Learning concepts, we build up 3 databases and 2 agents in this system. Content DB maintains learning contents for studying toward the license as the shape of objects separated by concept-unit. Item-bank DB manages items with their parameters such as difficulties, discriminations, and guessing factors, which are firmly related to the learning contents in Content DB through the concept of object parameters. User profile DB maintains users' status information, item responses, and ability parameters. With these DB formations, Interface agent processes user ID, password, status information, and various queries generated by learners. In addition, it hooks up user's item response with Selection & Feedback agent. On the other hand, Selection & Feedback agent offers problems and content objects according to the corresponding user's ability parameter, and re-estimates the ability parameter to activate dynamic personalized learning situation and so forth.

• 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.