| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10321972 | Expert Systems with Applications | 2013 | 7 Pages |
Abstract
⺠We present an approach to improve the argument selection. ⺠We identify each element of the RL model in the context of the argument selection. ⺠Our approach allows the agent to improve the argument effectiveness as the agent's experience increases. ⺠We tested this approach in a multiagent system, in a stationary as well as in a dynamic environment.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ariel Monteserin, AnalÃa Amandi,