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Your search keyword '"Zanardini, D."' showing total 9 results
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9 results on '"Zanardini, D."'

1. Cost Analysis of Java Bytecode

Author

Albert, E., Arenas, P., Genaim, S., Puebla, G., Zanardini, D., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and De Nicola, Rocco, editor

Published
2007
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4. Influencing over people with a social emotional model

Author

Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació, Ministerio de Economía, Industria y Competitividad, Rincon, J.A., de la Prieta-Pintado, Fernando, Zanardini, D., Julian Inglada, Vicente Javier, Carrascosa Casamayor, Carlos, Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació, Ministerio de Economía, Industria y Competitividad, Rincon, J.A., de la Prieta-Pintado, Fernando, Zanardini, D., Julian Inglada, Vicente Javier, and Carrascosa Casamayor, Carlos

Abstract

[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.

Published
2017

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