Paper Info
Title
Agent Simulation to Develop Interactive and User-Centered Conversational Agents.
Abstract
In this paper, we present a technique for developing user simulators which are able to interact and evaluate conversational agents. Our technique is based on a statistical model that is automatically learned from a dialog corpus. This model is used by the user simulator to provide the following answer taking into account the complete history of the interaction. The main objective of our proposal is not only to evaluate the conversational agent, but also to improve this agent by employing the simulated dialogs to learn a better dialog model. We have applied this technique to design and evaluate a conversational agent which provides academic information in a multi-agent system. The results of the evaluation show that the conversational agent reduces the time needed to fulfill to complete the the dialogs, thereby allowing the conversational agent to tackle new situations and generate new coherent answers for the situations already present in an initial model.
Year
DOI
Venue
2011
10.1007/978-3-642-19934-9_9
INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE
Field
DocType
Volume
Dialog box,Computer science,Statistical model,Artificial intelligence,Dialog system,Machine learning
Conference
91
ISSN
Citations 
PageRank 
1867-5662
0
0.34
References 
Authors
8
3
Name
Order
Citations
PageRank
David Griol122349.82
Javier Carbó218220.85
José M. Molina360467.82