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A New Approach for Learning User Preferences for a Ridesharing Application Read chapter Read first chapter

2018 | OriginalPaper | Chapter

An Emotional Multi-personality Architecture for Intelligent Conversational Agents

Author : Jean-Claude Heudin

Published in: Transactions on Computational Collective Intelligence XXVIII

Publisher: Springer International Publishing

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Abstract

Personal assistants and chatterbots represent an historical and growing application field in artificial intelligence. This paper presents a novel architecture to the problem of humanizing conversational agents by designing believable and unforgettable characters who exhibit various salient emotions in the flow of conversations. The proposed architecture is based on a multi-personality approach where each agent implements a facet of its identity, each one with its own pattern of perceiving and interacting with the user. In order to select an appropriate response from all the candidates, we use an emotion-based selection algorithm. Our first experiments show that a conversational multi-personality character with emotion selection performs better in terms of user engagement than a neutral mono-personality one.

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Metadata
Title
An Emotional Multi-personality Architecture for Intelligent Conversational Agents
Author
Jean-Claude Heudin
Copyright Year
2018
Book
Transactions on Computational Collective Intelligence XXVIII

Print ISBN: 978-3-319-78300-0

Electronic ISBN: 978-3-319-78301-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-78301-7_7

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