Influencing over people with a social emotional model
| Autor: | Damiano Zanardini, Jaime Andres Rincon Arango, Carlos Carrascosa, Fernando De la Prieta, Juan Manuel Corchado, Vicente Julian |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
Cognitive Neuroscience Emotional contagion 02 engineering and technology Space (commercial competition) Emotional competence Social group 03 medical and health sciences 0302 clinical medicine Artificial Intelligence ComputerApplications_MISCELLANEOUS 030225 pediatrics 0202 electrical engineering electronic engineering information engineering Social emotional learning Emotional expression Emotional software agents GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) business.industry Multi-agent system Multi-agent systems Representation (systemics) PAD emotional state model Computer Science Applications 020201 artificial intelligence & image processing Artificial intelligence business LENGUAJES Y SISTEMAS INFORMATICOS Neural networks Cognitive psychology |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 0925-2312 |
| DOI: | 10.1016/j.neucom.2016.03.107 |
| Popis: | [EN] This paper presents an approach of a social emotional model, which allows to extract the social emotion of a group of intelligent entities. The emotional model PAD allows to represent the emotion of an intelligent entity in 3-D space, allowing the representation of different emotional states. The social emotional model presented in this paper uses individual emotions of each one of the entities, which are represented in the emotional space PAD. Using a social emotional model within intelligent entities allows the creation of more real simulations, in which emotional states can influence decision-making. The result of this social emotional mode is represented by a series of examples, which are intended to represent a number of situations in which the emotions of each individual modify the emotion of the group. Moreover, the paper introduces an example which employs the proposed model in order to learn and predict future actions trying to influence in the social emotion of a group of people. This work is partially supported by the MINECO/FEDER TIN2015-65515-C4-1-R and the FPI grant AP2013-01276 awarded to Jaime-Andres Rincon. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect