Computer-Ästhetik
Inhaltsverzeichnis
Begriff
Ästhetik Maße und Metriken
Konferenzen, Workshops
Gesamtüberblick über die Computational Aesthetics Conferences
Artikel
Artikel aus dem Kontext Evolutionäre Kunst
Penousal Machado, Tiago Martins, Hugo Amaro, Pedro H. Abreu; An Interface for Fitness Function Design. In: EvoMUSART 2014, S. 13-25. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_2
Andrew Bishop, Vic Ciesielski, Karen Trist: Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value. In: EvoMUSART 2014, S. 62-73. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_6
Luz Castro, Rebeca Perez, Antonino Santos, Adrian Carballal: Authorship and Aesthetics Experiments: Comparison of Results between Human and Computational Systems. In: EvoMUSART 2014, S. 74-84. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_7
Gary Greenfield: An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images. In: EvoMUSART 2014, S. 85-94. DOI: http://link.springer.com/10.1007/978-3-662-44335-4_8
Jon McCormack: Aesthetics, Art, Evolution. In: EvoMUSART 2013, S. 1-12. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_1
Victor Ciesielski, Perry Barile, Karen Trist: Finding Image Features Associated with High Aesthetic Value by Machine Learning. In: EvoMUSART 2013, S. 47-58. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_5
Kate Reed: Aesthetic Measures for Evolutionary Vase Design. In: EvoMUSART 2013, S. 59-71. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_6
João Correia, Penousal Machado, Juan Romero, Adrián Carballal: Feature Selection and Novelty in Computational Aesthetics. In: EvoMUSART 2013, S. 133-144. DOI: http://link.springer.com/10.1007/978-3-642-36955-1_12
Colin G. Johnson: Fitness in Evolutionary Art and Music: What Has Been Used and What Could Be Used? In: EvoMUSART 2012, S. 129-140. DOI: http://link.springer.com/10.1007/978-3-642-29142-5_12
Yang Li, Changjun Hu, Ming Chen, Jingyuan Hu: Investigating Aesthetic Features to Model Human Preference in Evolutionary Art. In: EvoMUSART 2012, S. 153-164. DOI: http://link.springer.com/10.1007/978-3-642-29142-5_14
Heijer, E. den; Eiben, A.E.: Evolving Art Using Multiple Aesthetic Measures. In: EvoMUSART 2011, S. 234-243. DOI: http://link.springer.com/10.1007/978-3-642-20520-0_24
Romero, Juan; Machado, Penousal; Carballal, Adrian; Osorio, Olga: Aesthetic Classification and Sorting Based on Image Compression. In: EvoMUSART 2011, S. 394-403. DOI: http://link.springer.com/10.1007/978-3-642-20520-0_40
Heijer, E. den; Eiben, A.E.: Comparing Aesthetic Measures for Evolutionary Art. In: EvoMUSART 2010, S. 311-320. DOI: http://link.springer.com/10.1007/978-3-642-12242-2_
Machado, Penousal; Romero, Juan; Manaris, Bill: Experiments in Computational Aesthetics. In: Romero, Juan; Machado, Penousal: The Art of Artificial Evolution. Springer, Berlin, 2007, S. 381-415. DOI: http://link.springer.com/10.1007/978-3-540-72877-1_18
Basa, Tristan; Go, Christian Anthony; Yoo, Kil-Sang; Lee, Won-Hyung: Using Physiological Signals to Evolve Art. In: EvoMUSART 2006, S. 633-641. DOI: http://link.springer.com/10.1007/11732242_60
Machado, Penousal; Romero, Juan; Santos, Maria Luisa; Cardoso, Amilcar; Manaris, Bill: Adaptive Critics for Evolutionary Artists. In: EvoMUSART 2004, S. 437-446. DOI: http://link.springer.com/10.1007/978-3-540-24653-4_45
Svangard, Nils; Nordin, Peter: Automated Aesthetic Selection of Evolutionary Art by Distance Based Classification of Genomes and Phenomes Using the Universal Similarity Metric. In: EvoMUSART 2004, S. 447-456. DOI: http://link.springer.com/10.1007/978-3-540-24653-4_46
Romero, Juan; Machado, Penousal; Santos, Antonio; Cardoso, Amilcar: On the Development of Critics in Evolutionary Computation Artists. In: EvoMUSART 2003, S. 559-569. DOI: http://link.springer.com/10.1007/3-540-36605-9_51
Externe Links
http://www.computational-aesthetics.org/
http://en.wikipedia.org/wiki/Aesthetics#Computational_inference_of_aesthetics
