Dear all,
A brief update to our 2024 thread: Nail Kashaev, Martin Plávala, and I
have posted a substantially revised version of Entangled vs. Separable
Choice.
What if we could detect when two agents' joint behavior cannot be
explained by social independence, without treating correlation as
coordination or imposing strong assumptions on behavior?
In our benchmark, agents choose as though they were in separate rooms
and unable to communicate at the time of choice. Their actions may
nevertheless be arbitrarily correlated through shared tastes, beliefs,
information, environments, incentives, or randomization devices.
Separability is therefore a revealed-preference notion of social
independence, not statistical independence.
AGENTIC SOCIAL INDEPENDENCE
Now that we live in the singularity, pending confirmation, many
artificial agents will interact in marketplaces. But how can we know
whether they are genuinely acting independently?
We construct a white-hat stress test showing how a designer could
engineer what we call entangled collusion. The resulting joint rule
passes no-signaling and Duggan-Levitt marginal screens while violating
separability. Qwen3-14B is used only for local state inference from
short histories; stationary choices are produced by a deliberately
hand-coded local automaton that implements the protocol. The LLM does
not autonomously discover collusion. The point is that local inference
can support coordinated joint behavior that is invisible in the
marginals but detected by the CHSH test.
EMPIRICAL ILLUSTRATION
Since fútbol is still on our minds after the World Cup, we also apply
the method to UEFA European Championship final-round group matches
from 1980 through 2024. Under an explicit binary-effort-to-outcome
map, the 53-match illustration rejects separability (p = 0.015).
This is evidence against separability under the model, not proof that
teams cheated and not an attribution of intent. Possible explanations
include strategic adaptation to common information, tacit
coordination, omitted state-dependent composition, or failure of the
simplified effort-outcome map.
GENERAL SOLUTION
In the binary-covariate, binary-action case, separability is
equivalent to no-signaling plus Bell-type CHSH inequalities. In
general finite environments, the characterization uses finitely many
virtual replicas and yields a finite system of linear restrictions.
The test requires no utility maximization, equilibrium model,
parametric specification, or conventional rationality assumption.
So yes: decision theory, Bell inequalities, artificial agents, and
fútbol have somehow ended up in the same paper.
Paper:
https://www.researchgate.net/publication/378938384_Entangled_vs_Separable_Choice
A less technical discussion:
https://lnkd.in/eznz_RQA
This paper has been in development since before 2024. It is difficult
and deeply technical, but it speaks to an increasingly important
problem: security and governance in decentralized agentic
marketplaces. What makes me happy about academic research is searching
for the most general and portable abstraction, then writing it as a
letter to the future.
Comments are very welcome.
Best,
Victor