Name
Title | ||
|---|---|---|
Evaluating the Valuable Rules from Different Experience Using Multiparty Argument Games |
Abstract | ||
|---|---|---|
This paper proposes a dialectical analysis model for multiparty argument games to evaluate rules mined from different past experience, called Arena. This model transforms the multiparty argument games into two-party argument games using the ideas from the Arena Contest of Chinese KungFu, to model a dynamic process of finding a defensible argument from the different agents' experience and to form a grid of dialectic analysis trees. For the same case, Arena enables the participating agents to propose their opinions and arguments, and provides them a platform to argue from experience in order to choose the valuable experience rule. When the training cases are more than enough, all the valuable rules about a set of databases will converge towards a stable set. We show how to choose the valuable experience rule from multiparty experience using Arena. This approach provides a new way to evaluate the experience rules mined from a database using argumentation. Arena demonstrates a fact that a combined analytical and inductive machine learning method could overcome the pitfalls associated with each separate approach. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/WI-IAT.2012.181 | IAT |
Keywords | Field | DocType |
different experience,database management systems,experience rules,two-party argument game,machine learning method,rule mining,valuable experience rule,trees (mathematics),learning (artificial intelligence),arena contest,experience rule,arena model,dialectic analysis trees,agent experience,multi-agent systems,valuable rule evaluation,dialectical analysis model,game theory,multiparty argument game,valuable rules,data mining,databases,multiparty experience,multiparty argument games,different past experience,chinese kungfu,valuable rule,defensible argument | Data mining,Computer science,Argumentation theory,CONTEST,Inductive Machine Learning,Dialectic,Grid | Conference |
Volume | ISBN | Citations |
2 | 978-1-4673-6057-9 | 6 |
PageRank | References | Authors |
0.49 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Yao | 1 | 15 | 4.40 |
| Junyi Xu | 2 | 24 | 8.39 |
| Jinyang Li | 3 | 3186 | 385.60 |
| Xuetian Qi | 4 | 6 | 0.49 |