Titlebook: Evolutionary and Biologically Inspired Music, Sound, Art and Design; Second International Penousal Machado,James McDermott,Adrian Carballal

Hemoptysis

腐爛

adduction

Swarmic Sketches and Attention Mechanism, such systems have been explored in our previous work; nonetheless, this papers provides a brief account of the ‘computational creativity’ of the work through two prerequisites of creativity within the swarm intelligence’s two infamous phases of exploration and exploitation; these phases are describ

Pedagogy

Evolving Glitch Art, visually the same as its original, and therefore we also calculated the visual impact of each glitch operation. Furthermore we performed an experiment with our Glitch art genotype in our unsupervised evolutionary art system, and show that the use of our new genotype results in a new class of images

上腭

EvoSpace-Interactive: A Framework to Develop Distributed Collaborative-Interactive Evolutionary Algve algorithms for artistic design. A proof of concept application is developed on EvoSpace-Interactive called . that incorporates the popular social network Facebook for the collaborative evolution of artistic images generated using the Processing programming language. Initial results are encouragin

expository

Aesthetics, Art, Evolution,both research and practice. Aesthetics is a term often used in evolutionary art, but is regularly used with conflicting or na?ve understandings. A selective history of evolutionary art as art is provided, with an examination of some art theories from within the field. A brief review of aesthetics as

hangdog

Oration

寄生蟲

Darwinian Pianos: Realtime Composition Based on Competitive Evolutionary Process,cooperative manner - conversely this collaboration is directly counteracted by deliberate placement of a tone within the repetitive phrasing by one or other of the pianists. This action creates conflict and consequently it becomes a challenging task for the opposing pianist to introduce a similar ch

groggy

Finding Image Features Associated with High Aesthetic Value by Machine Learning,alue and want to find them. We have taken two image databases that have been rated by humans, a photographic database and one of abstract images generated by evolutionary art software. We have computed 55 features for each database. We have extracted two categories of rankings, the lowest and the hi