3 research outputs found
Fitness in Evolutionary Art and Music: What Has Been Used and What Could Be Used?
This paper considers the notion of fitness in evolutionary art and music. A taxonomy is presented of the ways in which fitness is used in such systems, with two dimensions: what the fitness function is applied to, and the basis by which the function is constructed. Papers from a large collection are classified using this taxonomy. The paper then discusses a number of ideas that have not be used for fitness evaluation in evolutionary art and which might be valuable in future developments: memory, scaffolding, connotation and web search
Fitness in Evolutionary Art and Music: A Taxonomy and Future Prospects
This paper is concerned with the idea of fitness in art and music systems that are based on evolutionary computation. A taxonomy is presented of the ways in which fitness is used in such systems, with two dimensions: what the fitness function is applied to, and the basis by which the function is constructed. A large collection of papers are classified using this taxonomy. The paper then discusses a number of ideas that have not been used for fitness evaluation in evolutionary art and which might be valuable in future developments: memory, scaffolding, connotation and web search
Music as complex emergent behaviour : an approach to interactive music systems
Access to the full-text thesis is no longer available at the author's request, due to 3rd party copyright restrictions. Access removed on 28.11.2016 by CS (TIS).Metadata merged with duplicate record (http://hdl.handle.net/10026.1/770) on 20.12.2016 by CS (TIS).This is a digitised version of a thesis that was deposited in the University Library. If you are the author please contact PEARL Admin ([email protected]) to discuss options.This thesis suggests a new model of human-machine interaction in the domain of non-idiomatic
musical improvisation. Musical results are viewed as emergent phenomena
issuing from complex internal systems behaviour in relation to input from a single
human performer. We investigate the prospect of rewarding interaction whereby a
system modifies itself in coherent though non-trivial ways as a result of exposure to a
human interactor. In addition, we explore whether such interactions can be sustained
over extended time spans. These objectives translate into four criteria for evaluation;
maximisation of human influence, blending of human and machine influence in the
creation of machine responses, the maintenance of independent machine motivations
in order to support machine autonomy and finally, a combination of global emergent
behaviour and variable behaviour in the long run. Our implementation is heavily
inspired by ideas and engineering approaches from the discipline of Artificial Life.
However, we also address a collection of representative existing systems from the
field of interactive composing, some of which are implemented using techniques of
conventional Artificial Intelligence. All systems serve as a contextual background and
comparative framework helping the assessment of the work reported here.
This thesis advocates a networked model incorporating functionality for listening,
playing and the synthesis of machine motivations. The latter incorporate dynamic
relationships instructing the machine to either integrate with a musical context
suggested by the human performer or, in contrast, perform as an individual musical
character irrespective of context. Techniques of evolutionary computing are used to
optimise system components over time. Evolution proceeds based on an implicit
fitness measure; the melodic distance between consecutive musical statements made
by human and machine in relation to the currently prevailing machine motivation.
A substantial number of systematic experiments reveal complex emergent behaviour
inside and between the various systems modules. Music scores document how global
systems behaviour is rendered into actual musical output. The concluding chapter
offers evidence of how the research criteria were accomplished and proposes
recommendations for future research