Generative – Art, Aesthetics, and the Robot World.

Art is about experience and sensations. One top of this, it is also about dialogue in the way it communicates different sensations to different people. Aesthetic can be quite personal and as the way people get different sensations from the way things look. Good aesthetics can be related to beauty, and bad aesthetics can be related to ugly. Aesthetics is related to my final research project as it is about narcissistic behaviour and posting pictures on social media.

Art is conceptual in the way that it there is often meaning that accompanies its medium. The Adobe Virtual Museum is a place where art can be showcased and share by everyone. This website doesn’t just provide digital art with links you can click on and simply view. Instead they looked at museums in the real world and discovered that they needed to create an actual physical virtual space in order to take the museum experience that are familiar to all of us. So, it’s a transformation and visualisation into the landscape of digital space. Apart from creating a virtual world, they have created a flying eye that was visually inspired by a plant and a jelly fish (Adobe Museum 2013). Enter an exhibit and you will see thousands of these eyes in the background, looking at the artwork. This gave a particular sensation and experience, making you feel like you were in a museum environment and accompanied by others. By being in this particular environment, you are forced to think conceptually about all of the artwork as museums in the real world are framed the same way. If it were just an image online, then you wouldn’t stop to think about it. Therefore, the creation of this virtual museum has mimicked the sensation of a human going to a museum in real life.

Through generative systems, we can see how technology has produced certain algorithms as a type of architecture for creating art. This “interplay of complex information with graphic design and programming” (Lanks 2012) has aided the creation of virtual worlds such as the Adobe Museum. Traditionally, if an artist wanted to draw an image like the one below, he had to physically draw them and it would take hours. Nowadays, computer programs can draw lines without getting tired as long as there is a code/algorithm telling it to do so. The generative systems can be expressed as an algorithmic model where “script runs as a process with input and output variables relating to datasets which are processed in real time” (Castillo 2012). Some examples of this are 3D printing and traffic camera analysis.

Red Ambush by Eno Henze

Traffic camera analysis presents the notion of a robot readable world (RRW). It is stated that we have over three billion eyes watching over us (Jones 2011). Refer to video: < >
These traffic cameras are using the generative algorithm architecture discussed above to count the number of cars on highways, representing them as a coloured boxes with a number inside. What meanings are they trying to gather about  our roads and human behaviour? Again, this all comes down to power data as discussed in previous weeks.


Castillo, Fran (2012). Generative Systems: A Paradigm for Modelling Complex Adaptive Architecture, Complexitys <>

Catt, Dan (2011). Why the New Aesthetic isn’t about 8bit retro, the Robot Readable World, computer vision and pirates. Rev Dan Catt Blog. <>

Jones, Matt (2011). The Robot-Readable World. Berg London. <;

Lanks, Belinda (2012). 9 Groundbreaking Examples of Generative Design. Co.Design <>

Mori, Mariko (2011) Tida Dome, Adobe Museum of Digital Media, < > (explore site, especially “past work”)

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