ï~~ ILMLI2012NON-COCHLEAR SOUND ____ LJUBLJANA _9.-14. SEPTEMBER A STIGMERGIC MODEL FOR OSCILLATOR SYNCHRONISATION AND ITS APPLICATION IN MUSIC SYSTEMS Andrew Lambert ABSTRACT Non-linear and chaotic dynamics, predominantly used in engineering, have become a pervasive influence in contemporary culture. Artists, philosophers and commentators are increasingly drawing upon the richness of these systems in their work. This paper explores one area of this territory: the synchronisation of a population of non-linear oscillators used for the generation of rhythm as applied in musical systems. Synchronisation is taken as a basis for complex rhythmic dynamics. Through the self-organisation notion of stigmergy, where entities are indirectly influenced by each other, the notion of local field coupling is introduced as a qualitatively stigmergic alternative to the Kuramoto model and noise, distance, delay and influence are incorporated. An interactive system of stigmergic synchronised oscillators was developed, that is open to be used across many fields. The user is allowed to become part of the stigmergy through influencing the environment. The system is then applied to the field of music, generating rhythms and sounds by mapping its state. 1. INTRODUCTION Oscillator synchronisation is a potential biological root of musical creativity. Through oscillation, interesting musical behaviour can be achieved. In section 2, stigmergy, a notion where entities are environmentally influenced by each other, is used as the mode of exploration into self-organisation. The Kuramoto model is introduced as a powerful and elegant mathematical formula describing the phenomena of oscillator synchronisation in the natural world. However, since synchronisation has its roots in self-organisation, the Kuramoto model encounters a problem and falls short of complete plausibility. An alternative model, local field coupling, derived from Kuramoto and other methods of oscillator synchronisation taken from biology and neuroscience, is described to solve this problem. Section 3 discusses theories from the fields of chronobiology and biomusicology, which use oscillator synchronisation phenomena to explain many forms of behaviours in living systems. A clearly rhythmic, but not necessarily creatively musical behaviour is achievable through stigmergic synchronisation, termed protomusical behaviour. An interactive system developed by the author, Crickets, is detailed in section 4. Crickets is an environment in which low-level creativity is achievable through biologically inspired protomusical behaviour. The protomusical behaviour generated by the system is able to be used in many applications across disciplines. 2. SELF-ORGANISATION AND OSCILLATION 2.1. Stigmergy A self-organising system is a system that forms a pattern or order without a central control mechanism or external influence. The pattern is formed instead via interactions on a local scale, with each part of the system knowing nothing of the global effect of these interactions. Selforganisation is interlinked with two other related terms, emergence and stigmergy, which seek to encapsulate self-organisation from differing viewpoints. In emergent behaviour, a set of properties or rules are defined through which a sophisticated pattern not present in the design of these rules is revealed [2], [16]. The main criticism of emergence is that an observer must be present. It is only via external observation that emergent behaviour is defined. Agents within the system, by their very nature, cannot intend to produce emergence as that will defeat the point. Furthermore, it is the observer that labels that outcome of the process a 'pattern' prior to being an emergent pattern. This leads to the area being difficult to study with great accuracy. Stigmergy on the other hand circumvents this problem through its own definition. It is another term that has its roots in the natural sciences, being devised to explain the control of collective behaviour of social insects such as ants and bees [21]. It is a notion common today in many agent based simulations, in that the agents remain independent entities. Their interactions with the environment affect the behaviour of the other agents, which in turn affects them. Stigmergy is therefore defined as pattern formation in a collective via an interaction with an environmental mediator. A common example of Stigmergy is an ant following a pheromone trail to a food source. The ant is merely following a trail it senses in the environment. The ant in turn leaves behind a trail of its own, thus strengthening 247
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