A Proposal to Enhance Human-Machine Interaction by Means of Multi-agent Conversational Interfaces View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

David Griol , Araceli Sanchis de Miguel , José Manuel Molina

ABSTRACT

Conversational interfaces have become a hot topic during the last years. Major research groups and technology companies have been making huge investments in research into technologies such as Artificial Intelligence, deep neural networks, machine learning, and natural language understanding with the aim of creating intelligent assistants that will enable users to interact with information and services in a natural, conversational way. However, most of the current conversational interfaces use hand-crafting dialog strategies and architectures tightly coupled to the application domain and are not adapted to the specific requirements and preferences of each user. In this paper, we propose a multi-agent architecture to develop user-adapted conversational interfaces. Our proposal considers two types of agents. Expert agents access different knowledge sources, and decision agents coordinate them to provide a coherent response to the user. We describe our proposal and its practical application to develop a conversational interface that provides bus schedule information. More... »

PAGES

565-576

References to SciGraph publications

Book

TITLE

Hybrid Artificial Intelligent Systems

ISBN

978-3-319-59649-5
978-3-319-59650-1

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-59650-1_48

DOI

http://dx.doi.org/10.1007/978-3-319-59650-1_48

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1086387412


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