Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.9
2.1
Journals
Entropy
Special Issues
Artificial Intelligence and Complexity in Art, Music, Games and Design...
entropy-logo
Submit to Entropy Review for Entropy Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Artificial Intelligence and Complexity in Art, Music, Games and Design III

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".

Deadline for manuscript submissions: closed (20 September 2022) | Viewed by 4238

Special Issue Editors

Dr. Tiago Martins

E-Mail Website
Guest Editor
CISUC, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal
Interests: artificial intelligence; computer art; design; generative design; evolutionary computation
Special Issues, Collections and Topics in MDPI journals
Dr. João Correia

E-Mail
Guest Editor
CISUC, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal
Interests: evolutionary computation; generative models; evolutionary machine learning; adversarial learning; computational creativity
Special Issues, Collections and Topics in MDPI journals
Dr. Nereida Rodríguez-Fernández

E-Mail Website
Guest Editor
Department of Computer Science and Information Technologies, University of A Coruña, A Coruña, Spain
Interests: artificial intelligence; computational aesthetics; computational creativity; evolutionary computation; image complexity; user preference

Special Issue Information

Dear Colleagues,

A major—and potentially unachievable—challenge in computational arts is constructing algorithms that assess properties such as novelty, creativity, and the aesthetic properties of artistic artefacts or performances. Approaches to this have often been based on broadly information-theoretic concepts. For example, ideas linking mathematical notions of form and balance to beauty date back to ancient times. In the twentieth century, attempts were made to produce aesthetic measures based on ideas of a balance between order and complexity. More recently, these have been formalised into ideas of aesthetic engagement occurring when work is at the “edge of chaos” between excessive order and excessive disorder; formalising this using notions such as the Gini coefficient and Shannon entropy; and links between cognitive theories of the Bayesian brain and free energy minimisation with aesthetic theories. These ideas have been used both for understanding human behaviour and building creative systems.

The use of Artificial Intelligence and complex systems for the development of artistic systems is an exciting and relevant area of research. There is a growing interest in the application of these techniques in fields such as visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; game content generation; and other creative tasks.

This Special Issue will focus on both the use of complex ideas and artificial intelligence methods to analyse and evaluate aesthetic properties, driving systems that generate aesthetically engaging artefacts, including but not limited to: music, sound, images, animations, designs, architectural plans, choreographies, poetry, text, jokes, etc.

Volume I: https://www.mdpi.com/journal/entropy/special_issues/ai_complexity

Volume II: https://www.mdpi.com/journal/entropy/special_issues/ai_complexity_II

Dr. Tiago Martins
Dr. João Correia
Dr. Nereida Rodríguez-Fernández
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computational aesthetics
  • computational creativity
  • artificial intelligence in art, design, architecture, music and games
  • information theory in art, design, architecture, music and games
  • complex systems in art, music and design
  • evolutionary art
  • evolutionary music
  • artificial life in arts
  • swarm art
  • pattern recognition
  • cellular automata

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 3558 KiB  
Article
EvoDesigner: Evolving Poster Layouts
by Daniel Lopes, João Correia and Penousal Machado
Entropy 2022, 24(12), 1751; https://doi.org/10.3390/e24121751 - 30 Nov 2022
Viewed by 1704
Abstract
Frequently, one of the goals of Graphic Design (gd) is discovering disruptive visual solutions that stand out and attract people’s attention. However, due to the increasing democratisation of gd, graphic designers tend to adopt design trends, leading to designs that many times [...] Read more.
Frequently, one of the goals of Graphic Design (gd) is discovering disruptive visual solutions that stand out and attract people’s attention. However, due to the increasing democratisation of gd, graphic designers tend to adopt design trends, leading to designs that many times lack innovative and catchy features. EvoDesigner is an evolutionary extension for Adobe InDesign that aims to aid gd processes by automatically evolving layout and style variations of given InDesign pages. The generated pages might be previously created and post-edited by designers, promoting co-creation. As an extension of the study EvoDesigner: Towards Aiding Creativity in Graphic Design, this article begins with a general introduction of EvoDesigner. Then, we review previous experiments on evolving pages towards the page balance of existing target posters. Furthermore, we present new experiments exploring the benefits of using grid systems to position and scale page items along with a user survey made to gather feedback about the impact of grid systems in the generated pages and showcase examples of artefacts created from the collaboration between designers and the system. The findings indicate that the presented techniques can be used to interpret current layouts in different manners, and suggest that grid systems may be a useful tool for promoting the automatic production of layouts with better organisation when compared to applying no organisational constraints. However, a conducted user survey indicates that, depending on the goals of the designers, more organised layouts might not always be synonymous with better results. Full article
(This article belongs to the Special Issue Artificial Intelligence and Complexity in Art, Music, Games and Design III)
►▼ Show Figures

Figure 1

27 pages, 11431 KiB  
Article
“Found in Translation”: An Evolutionary Framework for Auditory–Visual Relationships
by Ana Rodrigues, Bruna Sousa, Amílcar Cardoso and Penousal Machado
Entropy 2022, 24(12), 1706; https://doi.org/10.3390/e24121706 - 22 Nov 2022
Viewed by 1437
Abstract
The development of computational artifacts to study cross-modal associations has been a growing research topic, as they allow new degrees of abstraction. In this context, we propose a novel approach to the computational exploration of relationships between music and abstract images, grounded by [...] Read more.
The development of computational artifacts to study cross-modal associations has been a growing research topic, as they allow new degrees of abstraction. In this context, we propose a novel approach to the computational exploration of relationships between music and abstract images, grounded by findings from cognitive sciences (emotion and perception). Due to the problem’s high-level nature, we rely on evolutionary programming techniques to evolve this audio–visual dialogue. To articulate the complexity of the problem, we develop a framework with four modules: (i) vocabulary set, (ii) music generator, (iii) image generator, and (iv) evolutionary engine. We test our approach by evolving a given music set to a corresponding set of images, steered by the expression of four emotions (angry, calm, happy, sad). Then, we perform preliminary user tests to evaluate if the user’s perception is consistent with the system’s expression. Results suggest an agreement between the user’s emotional perception of the music–image pairs and the system outcomes, favoring the integration of cognitive science knowledge. We also discuss the benefit of employing evolutionary strategies, such as genetic programming on multi-modal problems of a creative nature. Overall, this research contributes to a better understanding of the foundations of auditory–visual associations mediated by emotions and perception. Full article
(This article belongs to the Special Issue Artificial Intelligence and Complexity in Art, Music, Games and Design III)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop