Name
Abstract | ||
|---|---|---|
A novel learning automata (LA) based cooperative student-team in tutorial-like system is presented in this paper. The students in our system are modeled using LA. The new philosophy of a student is that he acquires knowledge not only from teacher, but also from team-workers. The self-examination indicator makes it possible for students to evaluate his learning outcomes. The below normal learner adopts the collective intelligence to improve himself. Experiments demonstrate the proposed method's convergence speed is comparable to the student-classroom interaction method [ 9] and even better when the environment becomes harder. Compared to the previous interaction method and the single operated student, our accuracy is significantly improved. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-09339-0_16 | INTELLIGENT COMPUTING METHODOLOGIES |
Keywords | Field | DocType |
Tutorial-like system, Learning Automata (LA), cooperative method, current state of Learning (SoL) | Convergence (routing),Learning automata,Computer science,Collective intelligence,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
8589 | 0302-9743 | 2 |
PageRank | References | Authors |
0.36 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yifan Wang | 1 | 12 | 1.87 |
| W.-G. Jiang | 2 | 26 | 3.43 |
| Yinghua Ma | 3 | 2 | 0.36 |
| Hao Ge | 4 | 18 | 3.65 |
| Yuchun Jing | 5 | 9 | 1.15 |