dc.contributor.advisor | O'Riordan, Colm | |
dc.contributor.author | Breen, Aidan | |
dc.date.accessioned | 2019-04-09T08:01:22Z | |
dc.date.available | 2019-04-09T08:01:22Z | |
dc.date.issued | 2019-04-05 | |
dc.identifier.uri | http://hdl.handle.net/10379/15106 | |
dc.description.abstract | In this thesis the development of a computer system capable of generating art through the process of analogy is presented. A visual display is generated analogous to a given piece of music. This analogy is based upon the aesthetics of both music and visuals whereby an aesthetic piece of music should prompt an aesthetic visual display with similar characteristics.
The aesthetics of both music and visuals which form the core of the proposed system remain difficult to capture. A novel approach is presented, designed to capture and evaluate aesthetic experience for use in computational systems using a graph based ranking approach. A number of experiments were conducted to analyse the performance of this approach, and a number of studies were conducted using this approach to gather aesthetic data.
Representing an analogy within a computer system requires codifying the connections between two domains. Mapping expressions are introduced to represent these connections. Together with the aesthetic data gathered, these mapping expressions are evolved using a computational evolution approach. The output of this process is an abstract representation of an analogy. This representation is then used to create a visual display.
Further studies have been carried out to evaluate the effect of these generated visuals on the aesthetic experience of a viewer. | en_IE |
dc.publisher | NUI Galway | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | grammatical evolution | en_IE |
dc.subject | evolutionary algorithm | en_IE |
dc.subject | evolutionary computation | en_IE |
dc.subject | artificial intelligence | en_IE |
dc.subject | machine learning | en_IE |
dc.subject | computer science | en_IE |
dc.subject | art | en_IE |
dc.subject | analogy | en_IE |
dc.subject | computational intelligence | en_IE |
dc.subject | graphsort | en_IE |
dc.subject | music | en_IE |
dc.subject | mapping expression | en_IE |
dc.subject | Engineering and Informatics | en_IE |
dc.subject | Information technology | en_IE |
dc.title | Art and analogy through evolutionary computation | en_IE |
dc.type | Thesis | en |
dc.local.note | In this thesis the development of a computer system capable of generating art through the process of analogy is presented. This computer system is used to create a visual display so that it matches a piece of music. The match is based on the aesthetics of the music.
A core part of the work involved understanding the aesthetics of music and visuals, and developing a novel way to gather data on aesthetics that can be used by the computer system later.
A novel way to represent the analogy between music and visuals using what we call Mapping Expressions is then presented. Mapping Expressions can be used together with the aesthetic data to create matching music and visuals.
Finally, experiments are carried out the test the effectiveness of the computer system and the aesthetic data. | en_IE |
dc.local.final | Yes | en_IE |
nui.item.downloads | 1043 | |