AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
How to
Here you can find the complete list of our publications.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2013
Augello, Agnese; Infantino, Ignazio; Pilato, Giovanni; Rizzo, Riccardo; Vella, Filippo
Introducing a Creative Process on a Cognitive Architecture Journal Article
In: Biologically Inspired Cognitive Architectures, vol. 6, pp. 131–139, 2013, ISSN: 2212683X.
Abstract | Links | BibTeX | Tags: Cognitive Architectures, Computational Creativity, Creative Process, Emotion Analysis, Motivation
@article{augelloIntroducingCreativeProcess2013,
title = {Introducing a Creative Process on a Cognitive Architecture},
author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Riccardo Rizzo and Filippo Vella},
doi = {10.1016/j.bica.2013.05.011},
issn = {2212683X},
year = {2013},
date = {2013-01-01},
journal = {Biologically Inspired Cognitive Architectures},
volume = {6},
pages = {131--139},
abstract = {In this paper we present a system that implements a creative behavior on a cognitive architecture. It is aimed at creating digital art images from snapshots of a human subject, simulating a simple creative process. Such a process starts from a Training Phase that creates a set of image filter sequences. This phase is oriented to approximate some painting styles obtained from famous images and portraits of the past. The learned filter sequences are then used during the Production Phase. During this subsequent phase, the "artificial artist" interacts with the subject trying to "catch" the human emotions that drive the creation of the portrait. The artist processes feedbacks from the user according to the cognitive model Psi and its implementation of the motivations. These motivations influence further modifications of the applied filter sequences achieving an evolution of the artificial artist. textcopyright 2013 Elsevier B.V. All rights reserved.},
keywords = {Cognitive Architectures, Computational Creativity, Creative Process, Emotion Analysis, Motivation},
pubstate = {published},
tppubtype = {article}
}
In this paper we present a system that implements a creative behavior on a cognitive architecture. It is aimed at creating digital art images from snapshots of a human subject, simulating a simple creative process. Such a process starts from a Training Phase that creates a set of image filter sequences. This phase is oriented to approximate some painting styles obtained from famous images and portraits of the past. The learned filter sequences are then used during the Production Phase. During this subsequent phase, the "artificial artist" interacts with the subject trying to "catch" the human emotions that drive the creation of the portrait. The artist processes feedbacks from the user according to the cognitive model Psi and its implementation of the motivations. These motivations influence further modifications of the applied filter sequences achieving an evolution of the artificial artist. textcopyright 2013 Elsevier B.V. All rights reserved.