<i>Living Melodies</i>: Coevolution of Sonic Communication

Dahlstedt, Palle; Nordahl, Mats G.

doi:10.1162/002409401750287010

Cited by 26 publications

(29 citation statements)

References 3 publications

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“…Time of Doubles [128]), abstract formulations (e.g. Living Melodies [67]), or having visuals being entirely secondary while the focus of the work is on the sound generated (e.g. Filterscape [90]).…”

Section: Formal Parametersmentioning

confidence: 99%

On Computational Ecosystems in Media Arts

Antunes

2016

Leonardo

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DECLARATIONI hereby declare that I composed this thesis entirely myself and that it describes my own research.Rui Filipe Nicolau Lima Antunes 10th of October, 2013 2 This research is an exploration of issues surrounding the artistic production of Computational Ecosystems. A Computational Ecosystem is a system of agents designed to emulate, in the computer, biological systems where autonomous individuals are organized in a hierarchical food chain and interact by trading units of energy. This thesis maps out this field and examines the modes of production and functions of these systems. The central claim is focused on how the narratives normally associated with these systems and their functioning are two complementary, but separate entities. By virtue of considering these separately the computational ecosystem is argued to be an abstract generative engine for heterogeneity, spontaneity, and even novelty. It is contended that the set of methods of production developed by exploratory artists using these artefacts might be instrumentalized as generative methods for the animation of general purpose non-player characters in virtual worlds.

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Section: Formal Parametersmentioning

confidence: 99%

On Computational Ecosystems in Media Arts

Antunes

2016

Leonardo

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“…The models of Dahlstedt and Nordahl (2001) and Beyls (2007) used simple organisms in a two-dimensional space whose collective behavior was mapped into complex compositions, while Blackwell and Bentley's (2002) model was similar but three-dimensional, and the dynamics of the agents were inspired in swarm and flocking simulations. While all these examples use either homogeneous or spatially structured ecosystems, a recent trend is the use of sound as an environment in itself.…”

Section: Other Population-based Methodsmentioning

confidence: 99%

AI Methods in Algorithmic Composition: A Comprehensive Survey

Fernández

Vico

2013

jair

208

113

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Algorithmic composition is the partial or total automation of the process of music composition by using computers. Since the 1950s, different computational techniques related to Artificial Intelligence have been used for algorithmic composition, including grammatical representations, probabilistic methods, neural networks, symbolic rule-based systems, constraint programming and evolutionary algorithms. This survey aims to be a comprehensive account of research on algorithmic composition, presenting a thorough view of the field for researchers in Artificial Intelligence.

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“…Taking inspiration from a model of the evolution of bird song (Todd and Werner 1998), this coevolutionary approach has become a popular paradigm within computational creativity research, both for the generation of music and art, and as a modelling tool in the simulation of creative societies (Dahlstedt and Nordahl 2001). These interactions between critic and composer in the coevolutionary approach are seen as a proto-social behaviour (Miranda 2002a) and discussed in the context of multi-agent systems in Section 3.…”

Section: Approaches To Ga Designmentioning

confidence: 99%

Biologically Inspired and Agent-Based Algorithms for Music

Eldridge

Bown

2018

Oxford Handbooks Online

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This chapter examines a range of approaches to algorithmic music making inspired by biological systems, and considers topics at the intersection of contemporary music, computer science, and computational creativity. A summary of core precursor movements both within and beyond musical practice (A Life, cybernetics, systems art, etc.) sets the scene, before core models and algorithms are introduced and illustrated. These include evolutionary algorithms, agent-based modelling and self-organizing systems, adaptive behaviour and interactive performance systems, and ecosystemic approaches to composition and computational creative discovery. The chapter closes by reviewing themes for future work in this area: autonomy and agency, and the poetics of biologically inspired algorithms.

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Living Melodies: Coevolution of Sonic Communication

Cited by 26 publications

References 3 publications

On Computational Ecosystems in Media Arts

On Computational Ecosystems in Media Arts

AI Methods in Algorithmic Composition: A Comprehensive Survey

Biologically Inspired and Agent-Based Algorithms for Music

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