Research Lab

dissensusai

dis·sen·sus /dɪˈsɛnsəs/ — from Latin dissentire: to disagree. In political philosophy (Rancière, Mouffe), the productive friction that emerges when consensus is impossible or undesirable. Not dysfunction—function.

Axiomatic Consent Mechanics and Tripartite Friction Topology in Substrate-Agnostic Replication-Optimizing Multi-Agent Networks: Toward a Phenomenologically-Contained Metatheoretic Foundation for Pre-Strategic Delegation Dynamics Across Scale-Invariant Coordination Substrates with Applications to Decentralized Systems, Machine Morality, and Political Economy

Or simply: coordination has overhead.

Focus Multi-Agent Friction
Publications 24 Papers
Status Active Research
Read the Research Manifesto
Feb 2026 arXiv: ASRI published (2602.03874) · ROM (2601.06363) · Axiom of Consent (2601.06692)
Ongoing Under Review: 4 papers in peer review (Digital Finance, AI & Ethics, Ethics & IT, Nature HSSC) · 2 with editor (Digital Finance, Computational Economics)

The Problem

Game theory presupposes participation. It does not account for how agents enter strategic interaction, why payoff structures take the forms they do, or what occurs when participation is refused. It does not interrogate who defines the rules, whose interests they serve, or whether the game itself is legitimate.

We study the layer underneath. Before strategy, there is delegation. Before delegation, there is consent. Before consent, there is stake—someone's optimization being transferred to another's control. Regulatory announcements shift sentiment, yet decentralised networks remain structurally unresponsive—the protocol operates outside institutional jurisdiction.

Friction = f(alignment, stake, entropy)

Alignment = convergence/divergence of optimization targets between principal and agent
Stake = magnitude of optimization being delegated (what's at risk)
Entropy = efficiency loss in optimization transfer (information degradation)

We formalize this friction. Not to eliminate it—friction is the cost of existence in an adversarial environment—but to measure it. To make visible the invisible taxes that coordination imposes. To quantify the legitimacy deficits that traditional political theory only gestures toward.

Core Framework

The Axiom of Consent is a pre-game-theoretic framework for analyzing multi-agent systems. The central claim:

In any system containing two or more optimizing agents, action requires delegation, delegation produces friction, and friction has measurable stakes.

Research Programs

Current Research Programme

ASCRI: Adversarial Systems & Complexity Research Initiative

A formal research programme investigating sufficiently complex dynamic networks of agents where equilibria are impossible to reach due to formalised friction constraints. These systems function merely through a reduction of friction—drawing from game theory—and are thus adversarial against themselves, yet persist through dissensus. systems.ac →

Active
I

Consent Mechanics

The formal theory of consent-holding in multi-agent systems. When can delegation be legitimate? What are the structural conditions for valid consent? How do we measure consent deficits?

II

Machine Morality

Substrate-independent criteria for moral status. If an AI system meets functional criteria for consent-giving, what follows? The genre mimicry hypothesis: AI safety as statistical reproduction of professional norms.

Browse all 24 publications →

The Network

Dissensus operates as a distributed research initiative investigating the mechanics of friction—the coordination costs that multi-agent systems impose, and the structural asymmetries that emerge from unexamined delegation.

We seek collaborators willing to rigorously test these frameworks—to identify edge cases, expose failure modes, and refine the underlying formalisations.

  • Category Theorists to formalize the replicator-optimization homomorphism.
  • Political Scientists to stress-test consent-legitimacy mappings against empirical data.
  • AI Safety Researchers to attack the substrate-independence thesis.
  • Economists to find where the hedging paradox breaks down.
  • Philosophers to dismantle the eliminative argument on consciousness.

Enquiries and collaboration proposals are welcome.

Submit Collaboration Proposal →

Infrastructure

Resurrexi Labs

Private K3s compute cluster for high-throughput social simulation and agent-based modeling. Privacy-first architecture with dedicated research infrastructure.

resurrexi.io →

Compute Resources

Local LLM inference (Qwen3 80B), dual AMD GPU configuration, 262k context window. Offline-capable research workflows.

Open Source

All non-proprietary simulation code, datasets, and methodologies published under CC-BY-4.0. Reproducibility is not optional.

github.com/studiofarzulla →

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Signal

Accepting collaborations