Abstract
Reticular Resonance · Recursive Meta-Cognition is an artistic research project devoted to the possibility of building a generative system capable of observing its own operations, evaluating their effects and using that observation to modify subsequent cycles.
The project takes shape through a visual environment composed of reticular structures, particle fields, data flows, texts and dynamic surfaces. The visual component, however, constitutes only the perceptible level of a more elaborate process. At the centre of the research lies a recursive architecture in which every transformation produces information that re-enters the system as new operative material.
Recursion is therefore used as a cognitive and compositional principle. The system generates a configuration, observes its own behaviour, formulates an evaluation, modifies certain parameters and initiates a new cycle. The history of transformations progressively becomes part of the conditions through which future ones are determined.
Reticular Resonance represents the first experimental application of this method. The project is being developed as an open work and, at the same time, as a laboratory for a possible class of works capable of evolving through forms of computational meta-cognition.
1. A work that observes its own process
Most generative systems produce variations starting from a set of rules, parameters, probabilities and data.
In Reticular Resonance the research shifts towards the relationship between generation and observation.
Every state produced by the system becomes an object of analysis for the following cycle.
The system retains information about its own transformations, compares different configurations, identifies significant variations and uses this information to determine new operations.
A sequence thus emerges:
generation → observation → evaluation → transformation → new observation
Figure 1 · The recursive cycle
- 01generation
- 02observation
- 03evaluation
- 04transformation
- 05new observation
| CYCLE | COHERENCE | DISTANCE | EVALUATION | TRANSFORMATION |
|---|
COHERENCE ACROSS CYCLES · target band 0.55–0.80
Figure 1. The system generates a configuration, observes its behaviour, evaluates it against given criteria and modifies the parameters of the next cycle. Each row of the log is a cycle: its evaluation determines the transformation the network then displays.
Illustrative simulation of the cycle described in the text. The observation and evaluation rules are simplified and hand-coded for this figure. The network, log and chart are not generated by the work's recursive system, whose cognitive architecture is still experimental (section 11).
The decisive step concerns the role of observation.
The system's analysis in fact produces operative consequences. The outcome of one cycle modifies the conditions of the next.
Recursion thus introduces a processual memory.
Every configuration arises from the relationship between the current state, previous states, the available data, the rules of the system and the evaluations produced during the process.
The work acquires a genealogy of its own.
2. From system to work
The research distinguishes two levels.
The first is the recursive system.
The second is the individual work through which the system takes shape.
The system constitutes the conceptual and computational infrastructure. It defines the ways in which data are interpreted, transformations are generated, results are observed and subsequent iterations are determined.
Reticular Resonance constitutes the first artistic instance of this infrastructure.
This distinction makes it possible to imagine different works based on the same recursive architecture.
Each work may use:
- a different domain of knowledge;
- different datasets;
- different evaluation criteria;
- a visual grammar of its own;
- specific relationships between data and transformations;
- different ways of rendering the process.
The method thus becomes transferable.
The individual work represents a specific embodiment of the system.
3. Recursive Meta-Cognition
The expression Recursive Meta-Cognition describes the core of the research.
Meta-cognition is interpreted here operatively, as the system's capacity to produce information about its own behaviour.
Recursion introduces a further step: this information can itself become the object of subsequent observations.
The system can therefore analyse:
its own state;
the transformations that have just taken place;
the distance from previous states;
the evaluations generated earlier;
the effectiveness of the strategies adopted;
the evolution of its own modes of observation.
A multi-level structure takes form.
Level 0
The system operates on the data.
Level 1
The system observes the effects of its own operations.
Level 2
The system analyses the criteria through which those operations were evaluated.
Further levels
The mode of self-observation itself can enter the process of revision.
Figure 2 · The levels of meta-cognition
| LEVEL | OBSERVES | READING | ACTS ON |
|---|---|---|---|
| Level 0 The system operates on the data | incoming datum | … | network rhythm |
| Level 1 Observes the effects of its own operations | network response | … | gain |
| Level 2 Analyses the criteria of evaluation | level 1 interventions | … | level 1 threshold |
Figure 2. Three levels with different timescales. Level 0 turns a datum into rhythm at every step. Level 1 observes how strongly the network responds and adjusts the gain every three steps. Level 2 counts the interventions of level 1 and modifies level 1's threshold every nine steps: it changes the way the system evaluates itself.
Illustrative simulation of the levels described in section 3. The incoming datum is a synthetic series; rules and thresholds are hand-coded for this figure. The network is the site's, not the work's WebGPU prototype; the recursive system is in development (section 11).
This structure introduces an important condition.
Evolution progressively concerns also the way in which the system interprets its own evolution.
Recursion thus ceases to be a mere formal reiteration and becomes a device of internal transformation.
4. The thematic domain
The system is designed to operate within a defined field of knowledge.
This domain constitutes the conceptual territory of the work.
A sufficiently broad database enables the system to recognise relationships, conflicts, tendencies, anomalies, contradictions and possible developments.
The dataset therefore takes on a structural function.
Data, texts, events, concepts and relationships constitute the material on which the recursive processes are set in motion.
The aim is to produce transformations that bear a meaningful relationship to the context under study.
At each cycle the system can formulate a temporary synthesis of its own path.
A sentence.
A proposition.
A hypothesis.
A new relationship between previously separate elements.
These outputs become at once content of the work and new material available for subsequent cycles.
Over time, the work thus builds an evolving archive of its own.
The choice of the thematic domain for the first implementation currently constitutes one of the project's principal territories of research.
5. The network as visual structure
The visual form of Reticular Resonance originates in the network.
The network is used as the representation of a system of relationships in continuous transformation.
Nodes, connections, densities, interferences, particle fields, luminous variations and movements translate different internal conditions into visual terms.
The geometry maintains a continuity of its own, while the configuration evolves.
Some transformations may be almost imperceptible.
Others produce evident discontinuities.
The work progressively builds a visual temporality of its own.
Every state retains traces of previous states while preparing the conditions for those that follow.
The network thus takes on a twofold function.
It is image.
It is a dynamic map of a process.
6. Parameters and transformation
The current prototype uses several parameters to control the behaviour of the visual structure.
Among them:
Transformation, linked to the intensity of structural variations;
Rhythm, relating to the speed and frequency of modifications;
Light, used as a dynamic indicator of the system's conditions;
Interference, associated with the perturbation of the network;
Particles, through which the density and activity of the field can vary.
Figure 3 · The parameters
automatic demonstration · Move a slider to drive the network.
Figure 3. The five parameters of section 6 act on the same network. The figure raises and lowers them one at a time; moving a slider stops the demonstration and the network follows the hand.
Illustrative simulation: the parameters are linked to the site's network engine, not to the work's WebGPU prototype, and here they are manual controls. The research aims to link them to conditions produced by the recursive process (section 6).
These parameters are progressively withdrawn from the function of mere aesthetic controls.
The aim is to link them to conditions produced by the recursive process.
A conceptual transformation may thus generate a spatial transformation.
A variation in internal coherence may modify the rhythm.
A condition of instability may influence the particle field.
An emergent relationship may modify light, density or structure.
Aesthetics thus becomes the manifestation of an internal state.
7. Layer Data
Alongside the reticular structure, a second level is being developed, composed of textual flows and moving data.
Blocks of information traverse the visual space at independent speeds, densities, transparencies and positions.
Their behaviour evokes the presence of a cognitive infrastructure that is continuously active.
Data becomes visual matter.
Its function nonetheless remains legible.
Numbers, words, fragments, classifications and indicators make it possible to perceive part of the process that feeds the transformation.
The current system allows several blocks to be managed independently, with different numbers of lines, speeds and levels of transparency.
Figure 4 · Layer Data
Figure 4. Blocks of data cross the visual space of the network with independent speeds, densities and transparency levels. Each block carries one of the kinds of information the Layer Data is to show (section 7): the parameters, the evaluations, the coherence, the iteration history.
Illustrative simulation: the values are generated by simplified rules for this figure. The network is the site's, not the work's WebGPU prototype; the recursive system is in development (section 11).
In subsequent versions these flows will be linked directly to the cognitive and recursive states of the system.
The Layer Data will thus be able to display information about the ongoing process:
parameters;
evaluations;
hypotheses;
variations;
levels of coherence;
detected conflicts;
history of iterations;
texts produced by the system.
The surface of the work will progressively become legible as the interface of a distributed mental process.
8. A visible genealogy
One of the central directions of the research concerns the possibility of preserving the genealogy of transformations.
Every cycle in fact produces a state.
Every state derives from a history.
The work can use this history as part of its own future behaviour.
Memory makes it possible to compare different trajectories and to evaluate the consequences of previous transformations.
Returns, deviations, accelerations, stabilisations and ruptures may thus emerge.
The temporality of the work takes on a structural role.
A configuration observed today carries a different meaning from the same configuration produced after hundreds of cycles, because the history through which that form was reached has changed.
Time becomes material.
Figure 5 · A visible genealogy
PATH OF RHYTHM · same end point
Figure 5. Two histories reach the same final configuration. When a history is chosen, the network retraces its cycles and comes to rest in the same state: the form coincides; what changes is the history through which it was reached, and with it its meaning (section 8).
Illustrative simulation: the two histories are built for this figure with a fixed sequence. The network is the site's, not the work's WebGPU prototype; the recursive system is in development (section 11).
9. Autonomy and Systemic Direction
The presence of autonomous processes inevitably raises a question regarding the role of the artist.
In this project autonomy is constructed through an extremely precise initial Systemic Direction.
The artist defines the operative field:
the structure of the system;
the research domain;
the selection of data;
the modes of interpretation;
the evaluation criteria;
the limits of the transformations;
the visual grammar;
the relationship between cognitive evolution and aesthetic evolution.
Within this space the system develops trajectories that can progressively exceed the predictability of a fully determined composition.
Artistic practice thus shifts from the direct production of a succession of forms to the design of the conditions through which those forms can emerge, transform and acquire memory.
Systemic Direction acts upon the field of possibilities.
10. The output as the result of a process
For those who observe the work, the result remains essential.
The complexity of the system acquires artistic value when it produces perceptible consequences.
A modification of the network.
A slowing down.
A sudden growth of particles.
A luminous variation.
A text.
An unexpected proposition.
A new relationship between concepts.
The work must therefore be capable of transforming the internal process into experience.
Recursion acquires meaning when it leaves traces.
These traces allow the viewer to perceive that what they are observing possesses a history, a present state and a possible future direction.
The image becomes the temporary surface of a deeper activity.
11. Current state of the research
As of the date of this publication, Reticular Resonance is at an advanced stage of visual prototyping and at a still experimental stage as regards the complete cognitive architecture.
The following have already been developed:
a dynamic network in a WebGPU environment;
a particle system;
independent parameters of transformation, rhythm, light and interference;
a Layer Data composed of dynamic text blocks;
a control interface dedicated to the different levels of the work;
an initial architecture intended to connect system states and visual transformations.
The next phase concerns the integration of these components.
The decisive step will be the connection between the cognitive infrastructure and the visual grammar.
At that point the behaviour of the work will begin to depend genuinely on the recursive process.
12. Questions still open
The work-in-progress character concerns above all certain questions that deliberately remain open.
The first concerns the dataset.
It is necessary to define what relationship should exist between a relatively stable initial knowledge base and the possible continuous acquisition of new information.
The second concerns memory.
The system will have to establish which states to retain in full, which to synthesise and which to allow progressively to decay.
The third concerns the evaluation criteria.
A recursive system modifies its own behaviour on the basis of what it considers significant. The construction of these criteria therefore represents a fundamental component of the work.
The fourth concerns recursive depth.
An increasing number of levels of self-observation can produce more complex behaviours, but it requires mechanisms capable of preventing recursion from becoming purely self-referential.
The fifth concerns the relationship between meaning and form.
The visual transformation will have to maintain a sufficiently strong relationship with the internal process to make the evolution of the work perceptible without reducing it to a didactic visualisation of data.
These are technical, aesthetic and philosophical questions at the same time.
And it is precisely at this intersection that the research is situated.
13. Towards a work capable of evolving
Reticular Resonance arises from the possibility of considering the work as a temporally extended system.
A system that produces states.
Retains traces.
Observes transformations.
Formulates interpretations.
Uses these interpretations to modify its own behaviour.
The visible form represents only one of the moments of this process.
The complete work progressively coincides with the relationship among all its states.
The question guiding the research therefore concerns a precise possibility:
can a work use its own history to transform the way in which it generates its own future?
The answer is sought through the system itself.
Every new iteration of Reticular Resonance constitutes at once a result and a new initial condition.
The project proceeds in cycles.
It observes what it produces.
It incorporates what it learns.
And it continues to transform.
Project status
Reticular Resonance · Recursive Meta-Cognition
Research and development: Dario Buratti
Status: Work in Progress
Year: 2026-2027
Research fields: Generative Art, Systemic Art, Recursive Systems, Artificial Intelligence, Meta-Cognition, Computational Art, Data-driven Art, Emergent Systems.