Within the Matrix-Routed Sonic Ecosystem, the routing matrix provides a vast number of potential signal configurations. Each processor node may be connected to multiple others, and signals may travel through different transformation domains depending on the routing topology activated within the matrix.
From a purely technical perspective, such a system generates a very large combinatorial space of possible signal paths. Each connection between nodes represents a possible routing relationship, and the multiplication of these relationships across multiple processors produces an extensive number of theoretical configurations.
However, the MRSE is not designed as a system intended to explore the entire theoretical combinatorial space of routing possibilities. Instead, the ecosystem operates through a curated set of routing states that have been selected through extended practice-based experimentation.
These routing states are referred to in this work as ecosystem states.
An ecosystem state represents a stable routing configuration within the matrix in which the relationships between processors produce a coherent sonic environment. Rather than treating each processor as an isolated effect inserted in a fixed chain, the MRSE treats the entire processor network as a dynamic system whose behavior changes depending on the routing topology currently active.
In this sense, the routing matrix functions not simply as a switching mechanism but as a structural instrument capable of reorganizing the internal architecture of the processing ecosystem.
Each ecosystem state defines a particular configuration of signal flow through the network. In one state, signals may pass first through spectral shaping nodes before entering temporal processors. In another state, signals may encounter nonlinear transformations before being redistributed across delay structures or spatial processors. The order and interaction of processors therefore become part of the sonic identity of the system. This variability in order and interaction operates within the fixed domain sequence (Input, Texture, Space, Output) of the hardware and software realization of the MRSE currently in use (see Section 9.4 of the companion Perceptual Attenuation Field paper); what changes between ecosystem states is the internal routing within and across those stages, not the macroscopic stage order itself. Whether the macroscopic order also contributes to the perceptual outcome, independently of the internal routing, remains an open question addressed in Chapter 11.
Because the routing matrix allows multiple processors to be connected simultaneously in different configurations, each ecosystem state represents a distinct transformation environment rather than a simple effect chain.
The design of these states did not follow a purely theoretical or mathematical process. Instead, the ecosystem states emerged through extended experimentation with the routing matrix during the development of the system. Over time, different configurations were tested in practice in order to evaluate how signals evolved as they passed through different combinations of processors.
Through this exploratory process, many theoretical routing possibilities were found to produce unstable, redundant, or musically unproductive results. Some configurations produced excessive signal density, while others resulted in sonic behavior that was either overly chaotic or insufficiently responsive to performance gestures.
For this reason, the development of the MRSE involved a gradual process of selection and stabilization. Configurations that demonstrated musically coherent behavior were retained and refined, while configurations that produced undesirable or unstable results were discarded.
This process reflects a methodological position aligned with practice-based research in the arts. Rather than attempting to exhaustively catalogue all possible routing configurations, the system evolved through iterative exploration and selection guided by listening, performance interaction, and long-term sonic evaluation.
The resulting ecosystem states therefore represent a curated subset of the much larger combinatorial space theoretically available within the routing matrix.
Although the exact number of possible configurations within the system would be extremely large if every routing possibility were considered, the MRSE instead operates through a limited number of stored routing presets within the matrix controller.
Each preset recalls a specific routing topology within the processor network. In practical terms, this allows the performer to transition rapidly between different ecosystem states during performance.
The preset system transforms the routing matrix into a form of structural instrument. Instead of manually reconfiguring individual signal paths, the performer can recall entire ecosystem architectures with a single action. Each preset therefore corresponds to a specific configuration of the ecosystem’s internal topology.
Within the context of the MRSE, these presets do not represent minor variations of a single processing chain. Instead, they correspond to structurally different processing environments in which the relationships between processors are reorganized.
For example, one ecosystem state may emphasize spectral shaping followed by temporal diffusion, producing a gradually evolving sonic field. Another state may route signals through nonlinear harmonic expansion before distributing them across delay structures, resulting in a more dynamically articulated texture. Yet another configuration may prioritize memory-based recombination processes that generate slowly evolving soundscapes.
These differences illustrate that the identity of each ecosystem state lies not in the individual processors themselves but in the topology of their interconnections.
From a systems perspective, the MRSE therefore treats routing topology as a primary compositional parameter. The sonic behavior of the ecosystem emerges from the interaction of nodes within a particular routing configuration rather than from the isolated action of individual processors.
Although the process used to develop ecosystem states was primarily practice-based, it also reflects an implicit form of constraint-based design. The large combinatorial space of theoretical routing possibilities is gradually reduced through practical constraints related to sonic clarity, system stability, and performance usability.
Through this process, the ecosystem evolves toward a set of routing states that balance structural complexity with musical coherence. The resulting configurations provide sufficient diversity to generate varied sonic environments while remaining stable and controllable within a performance context.
In this way, the MRSE transforms a potentially overwhelming space of routing possibilities into a manageable set of ecosystem states that function as the operational vocabulary of the system.
Each ecosystem state therefore represents a stable configuration of the processor network through which the ecosystem can generate a particular class of sonic behaviors. During performance, transitions between these states allow the system to reorganize its internal architecture, producing new sonic environments without requiring manual reconstruction of the signal network.
The concept of ecosystem states thus forms a central component of the Matrix-Routed Sonic Ecosystem. It establishes the practical mechanism through which the vast routing potential of the matrix is transformed into a structured and musically meaningful system of sonic architectures.
While ecosystem states emerge primarily through practice-based exploration, it is important to acknowledge that the routing matrix underlying the MRSE theoretically allows an extremely large number of signal configurations.
Each processor node in the ecosystem can potentially connect to multiple other nodes. When such connections are considered across the entire network, the number of possible routing permutations increases rapidly. Even when practical constraints are applied, such as avoiding feedback loops or redundant signal paths, the remaining space of possible configurations remains very large.
In principle, a combinatorial analysis of all possible routing paths could be performed in order to enumerate every configuration available to the system. However, such an exhaustive approach would not necessarily produce meaningful results within a musical context. Many theoretically valid configurations would generate sonic environments that are unstable, overly dense, or insufficiently responsive to performance interaction.
For this reason, the MRSE does not attempt to explore the entire combinatorial space of routing possibilities. Instead, the development of ecosystem states follows a constraint-based selection process guided by musical evaluation.
In practice, routing configurations are tested through iterative experimentation with the matrix system. During this process, the performer evaluates how signals evolve when they traverse different sequences of transformation nodes. Particular attention is given to factors such as sonic clarity, dynamic responsiveness, temporal behavior, and the capacity of a configuration to sustain an evolving sonic environment over time.
Configurations that demonstrate coherent sonic behavior are retained and stabilized as ecosystem states, while configurations that produce excessive signal congestion, unpredictable instability, or limited musical expressivity are discarded.
This gradual process of exploration and selection effectively reduces the enormous combinatorial routing space to a curated subset of musically viable configurations.
Within the MRSE, these selected configurations are stored as routing presets within the matrix controller. Each preset recalls a specific routing topology connecting the processor nodes of the ecosystem. In performance, the recall of a preset therefore activates a particular ecosystem state.
The number of such states is not predetermined by theoretical calculation. Instead, it emerges progressively through continued experimentation with the system. As new configurations are explored and evaluated, additional ecosystem states may be incorporated into the preset architecture, expanding the operational vocabulary of the system.
This approach reflects a broader methodological principle within practice-based research in electronic music systems. Rather than attempting to define an exhaustive catalogue of technical possibilities, the focus is placed on identifying configurations that produce musically meaningful behaviors within the ecosystem.
In this sense, the MRSE does not treat the routing matrix as a device whose purpose is to realize every possible signal path. Instead, the matrix functions as a generative structure whose potential is selectively shaped through musical practice.
The ecosystem states that result from this process represent a balance between structural complexity and performative usability. They preserve the expressive richness of the routing network while ensuring that the system remains controllable and musically responsive during live performance.
Through this selective reduction of the routing space, the MRSE transforms a potentially overwhelming combinatorial system into a coherent and evolving set of sonic architectures.
Within the Matrix-Routed Sonic Ecosystem, routing presets play a central role in transforming the abstract routing potential of the matrix into a practical operational structure. The preset system allows the performer to recall complex routing configurations instantly, effectively reorganizing the internal topology of the processor network without requiring manual reconnection of signal paths.
In this context, presets are not understood merely as stored parameter settings in the conventional sense used by many digital audio devices. Instead, each preset represents a structural configuration of the ecosystem itself. When a preset is recalled, it does not simply modify the behavior of a single processor; it reorganizes the relationships between multiple processors simultaneously by activating a specific routing topology within the matrix.
For this reason, the presets used within the MRSE are better understood as ecosystem states rather than simple effect configurations. Each state defines a particular architecture of signal movement through the network. The processors remain the same, but the relationships between them are reconfigured, producing different modes of sonic behavior.
This structural approach transforms the routing matrix into an instrument capable of altering the internal organization of the processing ecosystem in real time. Instead of thinking in terms of individual effects applied sequentially to a signal, the performer interacts with the system at the level of topology. The selection of a preset therefore activates a particular configuration of the ecosystem’s internal architecture.
From a musical perspective, this allows the system to shift between distinct sonic environments during performance. One ecosystem state may emphasize spectral shaping and spatial diffusion, generating slowly evolving textures. Another may privilege nonlinear harmonic expansion combined with temporal repetition structures, producing more articulated sonic movement. Yet another state may place memory-based processors at the center of the signal network, creating evolving layers of recombined sonic material.
The sonic identity of each ecosystem state therefore emerges from the interaction of processors within a specific routing topology rather than from the isolated contribution of any individual device. Even when the same processors are involved, changes in their order and interconnection can produce significantly different sonic outcomes.
The preset architecture thus functions as a mechanism for navigating the ecosystem’s internal topology. Each stored configuration acts as a stable reference point within the broader routing space, allowing the performer to move between different system architectures in a controlled manner.
Another important aspect of this preset-based approach concerns performative usability. The combinatorial routing space of the matrix is far too large to be explored in real time through manual routing changes. By stabilizing selected configurations as presets, the system becomes manageable within the temporal constraints of live performance.
Preset recall allows the performer to transition between complex routing configurations with a single action. These transitions effectively reorganize the internal structure of the ecosystem, enabling rapid shifts in sonic behavior without interrupting the continuity of the signal flow.
Within this framework, the presets do not simply represent static configurations. They function as nodes within a larger navigational map of the ecosystem’s routing space. Movement between presets can therefore be understood as movement between different structural states of the processing environment.
This perspective reinforces the idea that the MRSE operates not merely as a collection of audio processors but as an evolving sonic ecosystem. The processors act as transformation nodes, while the routing matrix and its preset architecture define the structural relationships that determine how those transformations interact.
Through this architecture, the ecosystem becomes capable of producing a wide variety of sonic environments while remaining controllable within a performance context. The preset system thus acts as the bridge between the theoretical routing potential of the matrix and the practical needs of musical interaction.