• Journal of The Korean Association For Science Education
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• v.18 no.1
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• pp.61-70
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• 1998

This study investigated the effects of grouping (group composition) in cooperative learning strategy upon students' achievement, the attitude toward science instruction, the perception of learning environment, and the self-esteem. Three different groups were used in this study. For the two treatment groups with cooperative learning strategies, High-Medium-Low ability grouping (HML) and High-Low I Medium-Medium ability grouping (HL/MM) were used. For the control group, traditional instruction was used. Before the instructions, the short-version Group Assessment of Logical Thinking, the test of attitudes toward science instruction, the perception questionnaire of learning environment, and the questionnaire of self-esteem were administered, and their scores were used as covariates. Mid-term examination score was used as a blocking variable. After the instructions, a researcher-made achievement test consisting of three subtests (knowledge, understanding, and application), the test of attitude toward science instruction, the perception questionnaire of learning environment, and the questionnaire of self-esteem were administered. The ANCOVA results revealed that there were significant interactions between the instruction and the level of prior achievement although there were no significant differences in all subtest scores of the achievement test. The high-level students in the HL/MM cooperative group performed better than those in the control group and the HML cooperative group. The low-level students in the HL/MM cooperative group also performed better in the subtest of knowledge than those in the other groups. However, the medium-level students in the HML cooperative group scored better than those in the control group and the HL/MM cooperative group. Significant main effect was also found in the perception of learning environment but not in the attitude toward science instruction and self-esteem. The cooperative groups, regardless of grouping, exhibited more positive perception than the control group.

• Journal of Korean Elementary Science Education
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• v.25 no.1
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• pp.8-14
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• 2006

This study examined how pre-service elementary teachers' perceptions regarding the learning environment (learning focus/ability-meritocracy/cooperative climate) and achievement goals (mastery/performance-approach/performance-avoidance) in science education courses jointly contributed to their science teaching efficacy beliefs (personal science teaching efficacy belief/science teaching outcome expectancy). A path analysis supported a causal model in which the perception of the learning focus influenced the mastery goal, which in turn influenced the personal science teaching efficacy belief and science teaching outcome expectancy. The perception of learning focus also had a direct effect on science teaching outcome expectancy. The perception of ability-meritocracy influenced personal science teaching efficacy belief via the performance-approach (positively) or, conversely, the performance-avoidance goal (negatively). No link .was deduced from the perception of cooperative climate. The educational implications of these findings were also discussed.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.149.1-149
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• 2001

In multi robot environment, the action selection strategy is important for the cooperation and coordination of multi agents. However the overlap of actions selected individually by each robot makes the acquisition of cooperation behaviors less efficient. In addition to that, a complex and dynamic environment makes cooperation even more difficult. So in this paper, we propose a control algorithm which enables each robot to determine the action for the effective cooperation in multi-robot system. Here, we propose cooperative algorithm with reinforcement learning to determine the action selection In this paper, when the environment changes, each robot selects an appropriate behavior strategy intelligently. We employ ...

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.205-211
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• 2024

Effective warehouse management requires advanced resource planning to optimize profits and space. Robots offer a promising solution, but their effectiveness relies on embedded artificial intelligence. Multi-agent reinforcement learning (MARL) enhances robot intelligence in these environments. This study explores various MARL algorithms using the Multi-Robot Warehouse Environment (RWARE) to determine their suitability for warehouse resource planning. Our findings show that cooperative MARL is essential for effective warehouse management. IA2C outperforms MAA2C and VDA2C on smaller maps, while VDA2C excels on larger maps. IA2C's decentralized approach, focusing on cooperation over collaboration, allows for higher reward collection in smaller environments. However, as map size increases, reward collection decreases due to the need for extensive exploration. This study highlights the importance of selecting the appropriate MARL algorithm based on the specific warehouse environment's requirements and scale.

• The Journal of Fisheries Business Administration
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• v.44 no.3
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• pp.1-14
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• 2013

This study considers an approach for subregional fisheries organization in Northeast Asia. The fishery resources in the Northeast Asian waters surrounding Korea are among the most productive in the world because of their extremely high biological productivity and the natural features of the sea. However, the fishery resources of the region have long been subject to heavy fishing pressures, and many stocks are now believed to be seriously depleted or even in danger of extinction because of overfishing. To move to a run sustainable fishery in Northeast Asia waters area, cooperative fisheries management between Korea, China and Japan for common resource is probably necessary. Cooperative fisheries management is likely to be more effective in fishery resources management than individual fisheries management by countries. The effects of fisheries management by regional cooperation can be divided into resource management and economical performance. Cooperative fisheries management as RFO will bring satisfactory results. Currently these jurisdictional extensions and resulting disputes over maritime space and resources were thrust upon an already transitional and unstable political environment. However, They have to have a strategic approach for RFO establishment step by step. Cooperative fisheries management using the RFO can mitigate these disputes, and cooperative bilateral fisheries arrangements have been proliferating over the past 10 years and may provide the basis for possible trust-building multilateral agreements.

• Journal of Communications and Networks
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• v.10 no.2
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• pp.175-185
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• 2008

In this paper, we investigate the effect of cooperative and selection relaying schemes on multiuser diversity in downlink cellular systems with fixed relay stations (RSs). Each mobile station (MS) is either directly connected to a base station (BS) and/or connected to a relay station. We first derive closed-form solutions or upper-bound of the ergodic and outage capacities of four different downlink data relaying schemes: A direct scheme, a relay scheme, a selection scheme, and a cooperative scheme. The selection scheme selects the best access link between the BS and an MS. For all schemes, the capacity of the BS-RS link is assumed to be always larger than that of RS-MS link. Half-duplex channel use and repetition based relaying schemes are assumed for relaying operations. We also analyze the system capacity in a multiuser diversity environment in which a maximum signal-to-noise ratio (SNR) scheduler is used at a base station. The result shows that the selection scheme outperforms the other three schemes in terms of link ergodic capacity, link outage capacity, and system ergodic capacity. Furthermore, our results show that cooperative and selection diversity techniques limit the performance gain that could have been achieved by the multiuser diversity technique.

• The Korean Journal of Food And Nutrition
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• v.29 no.5
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• pp.795-800
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• 2016

The objective of this study was to propose motivation for the analysis of consumer's purchasing behavior and willingness to pay for the new soymilk products in cooperative stores. We surveyed the purchasing behavior, willingness to purchase, willingness to pay, and impact factors on willingness to pay. The results indicated that most consumers drank soymilk more than once per week. The reasons for consuming soymilk were health, nutrition, and taste, in order. When purchasing soymilk, consumers considered environment-friendly, quality, country of origin, brand, and price, consecutively. Taste was also an essential quality factor. Thus, consumers showed some willingness to purchase new soymilk products. In addition, cooperative members considered environmental characteristics of raw material and improvement of preference for final product as more important than functionality or food additives. Differentiation of process and marketing strategies are required for the development of soymilk products for cooperative members.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.11
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• pp.5322-5342
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• 2016

In vehicle-to-vehicle (V2V) networks, where selfishness degrades node activity, countermeasures for collaboration enforcement must be provided to enable application of a sage and efficient network environment. Because vehicular networks feature both high mobility and various topologies, selfish behavior judgment and establishment of a stable routing protocol become intensely challenging. In this paper, a two-phase-based generous cooperative routing protocol (called GEC) is presented for V2V networks to provide resistance to selfishness. To detect selfish behaving vehicles, a packet forwarding watchdog and an average connection rate based on the multipath weight method are used, where evidence is gathered from different watchdogs. Then, multihop relay decisions are made using a generous cooperative algorithm based on game theory. Finally, through buffering of the multiple end-to-end paths and judicious choice of optimal cooperative routes, route maintenance phase is capable of dealing with congestion and rapidly exchanging traffic. Specifically, it is proved that the GEC is theoretically subgame perfect. Simulation results show that for V2V networks with inherently selfish nodes, the proposed method isolates uncooperative vehicles and is capable of accommodating both the mobility and congestion circumstances by facilitating information dissemination and reducing end-to-end delay.

• Journal of Environmental Policy
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• v.6 no.3
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• pp.91-114
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• 2007

The cooperative cost sharing scheme for Dust and Sand Storm(DSS) in North East Asia, as suggested in Song and Nagaki(2007), may not be feasible due to possible defection(s) of participating countries. If non-cooperative strategies are more plausible, Nash equilibrium can suggest possible outcomes of the cost sharing game. The result from the continuous strategy model shows that there exists an infinite number of Nash equilibrium such that the summation of investment from each country is always equal to the required budget of the ADS pilot project. It is also discussed that the discrete strategy model points to only 3 Nash equilibria in continuous strategy game outcome and the cooperative game solution may be just one of the infinite equilibria.

• The Transactions of the Korea Information Processing Society
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• v.6 no.7
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• pp.1777-1788
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• 1999

The portability of Java language makes it possible to use heterogeneous computers without re-compiling of application programs. Java applet can also be transported to other computers via Web browser. In this research, a Cooperative Web Computing Environment(CWCE) that uses idle computers on the Intranet for cooperative parallel computing work is suggested. The CWCE allows to use more than a manager computer that sends applets and manages communication between other computers. The number of manager computers can be determined according to the characteristics of computing environment and any chosen application program. It can reduce the amount of communication overhead for the application programs especially with synchronized communication. For the CWCE, a decision function to determine the managing level is provided. The CWCE turns out to be useful computing environment for the applications with less computation request ratio and multi-managing can help to reduce the communication overhead especially for the applications with a high ratio of synchronization purpose communications.