Over the past decades, the rapid development has taken place in the teaching and research of English writing throughout the nation. However, due to the drawbacks in traditional teaching of English writing, especially ...Over the past decades, the rapid development has taken place in the teaching and research of English writing throughout the nation. However, due to the drawbacks in traditional teaching of English writing, especially the lack of effective information input （EII）, it is not an easy task for students to improve their writing level in conventional classes. This paper focuses on the study on group work from the perspective of information input. Unlike previous research, this paper intends to demonstrate the role of group work in obtaining effective information input. It starts with a brief introduction to problems in traditional teaching of English. Then it states the definition of group work and the ZPD theory applied in the paper. In the third part, it proposes a case study to testify how group work may improve the effective information input and terminate the study with the conclusion that group work can help to enhance students＇ effective information input. Based on the results of the study, we may suggest that applying group work in an English writing class will finally help students to elevate their writing level.展开更多
Coalition formation is an important coordination problem in multi-agent systems, and a proper description of collaborative abilities for agents is the basic and key precondition in handling this problem. In this paper...Coalition formation is an important coordination problem in multi-agent systems, and a proper description of collaborative abilities for agents is the basic and key precondition in handling this problem. In this paper, a model of task-oriented collaborative abilities is established, where five task-oriented abilities are extracted to form a collaborative ability vector. A task demand vector is also described. In addition, a method of coalition formation with stochastic mechanism is proposed to reduce excessive competitions. An artificial intelligent algorithm is proposed to compensate for the difference between the expected and actual task requirements, which could improve the cognitive capabilities of agents for human commands. Simulations show the effectiveness of the proposed model and the distributed artificial intelligent algorithm.展开更多
文摘Over the past decades, the rapid development has taken place in the teaching and research of English writing throughout the nation. However, due to the drawbacks in traditional teaching of English writing, especially the lack of effective information input （EII）, it is not an easy task for students to improve their writing level in conventional classes. This paper focuses on the study on group work from the perspective of information input. Unlike previous research, this paper intends to demonstrate the role of group work in obtaining effective information input. It starts with a brief introduction to problems in traditional teaching of English. Then it states the definition of group work and the ZPD theory applied in the paper. In the third part, it proposes a case study to testify how group work may improve the effective information input and terminate the study with the conclusion that group work can help to enhance students＇ effective information input. Based on the results of the study, we may suggest that applying group work in an English writing class will finally help students to elevate their writing level.
基金supported by the National Natural Science Foundation of China(Nos.61573062,61120106010,and 61321002)the Beijing Outstanding Ph.D. Program Mentor(No.20131000704)the Beijing Advanced Innovation Center for Intelligent Robots and Systems(Beijing Institute of Technology)
文摘Coalition formation is an important coordination problem in multi-agent systems, and a proper description of collaborative abilities for agents is the basic and key precondition in handling this problem. In this paper, a model of task-oriented collaborative abilities is established, where five task-oriented abilities are extracted to form a collaborative ability vector. A task demand vector is also described. In addition, a method of coalition formation with stochastic mechanism is proposed to reduce excessive competitions. An artificial intelligent algorithm is proposed to compensate for the difference between the expected and actual task requirements, which could improve the cognitive capabilities of agents for human commands. Simulations show the effectiveness of the proposed model and the distributed artificial intelligent algorithm.
