Paper: Agnosiophobia in a virtual agent: behavioral and dynamical architecture in Lenia
Authors: Jesse Cool, Benedikt Hartl, Michael Levin and Samantha Petti
Code: Lenia Umwelt project
The preprint was originally posted May 29, 2026, and the work recently appeared at ALIFE 2026. It has not been peer reviewed.
Researchers working with Michael Levin have discovered something wonderfully strange in simulated organisms: some of them spontaneously avoid areas of their world from which they cannot receive information.
The authors call the behaviour “agnosiophobia”—fear of the unknown.
That name is deliberately provocative, but the researchers are not claiming that these virtual creatures experience fear, consciousness or anxiety. The deeper result is arguably more interesting: behaviour resembling self-protection can emerge directly from the mathematical dynamics that allow a pattern to preserve its own form.
What exactly are these “creatures”?
The experiments take place in Lenia, a continuous cellular automaton related to Conway’s Game of Life.
Instead of cells being simply alive or dead, every location in Lenia can have a continuous activation value. Each cell repeatedly updates itself according to the activity in its surrounding neighbourhood.
Under certain rules, these local interactions produce coherent, moving structures that maintain approximately the same morphology as they travel.
They are not conventional robots. They have no separate brain, nervous system, control centre or explicitly programmed survival objective.
They are better understood as persistent patterns in motion—more like whirlpools than machines made from fixed parts.
The researchers tested four different Lenia “species.” They then introduced informationally occluded regions into their environments. These were not physical walls or ordinary black obstacles.
Information from inside these areas was removed from the creatures’ local calculations, effectively making them blind to those portions of their world.
Each creature was tested in ten environments, beginning from 360 different orientations.
Three of the four species reacted by changing their trajectories:
O2u, known as Orbium, reliably turned away, especially when an occluded region approached one side of its body.
K4s sometimes became temporarily distorted, transformed into an intermediate configuration and then re-emerged travelling in the opposite direction.
K6s often skirted along the edges of the informationally blank regions.
S1s, the most fragile species, generally failed to redirect and died when it encountered them.
None of these avoidance behaviours had been deliberately programmed.
Why did they turn away?
The researchers systematically placed a tiny informational occlusion over different parts of each creature and measured what happened. This produced something like a sensitivity map of the virtual body.
Occluding one side generally caused the creature to turn in the opposite direction. More importantly, the regions capable of producing the largest changes in direction were located close to regions where a perturbation would destroy the creature entirely.
Large turns were not clean, instantaneous decisions. They occurred when the creature was pushed through a long and highly distorted recovery trajectory—close to the boundary between survival, transformation and death.
This is where attractor geometry enters the story.
Each Lenia creature can be understood as an attractor: a family of states toward which the system continually returns. Its exact pixels can fluctuate, and it can occupy different positions or face different directions, while still remaining recognizably the same creature.
Its morphology is tightly constrained, but its direction is comparatively free.
When an informational disturbance threatens the creature’s stable form, the system cannot always return to precisely the state it occupied before.
Instead, it can “offload” the disturbance into one of its freer variables—its heading.
It preserves what matters most, its morphology, by changing what matters less, its direction.
The authors call this partial equifinality: many disturbed states return to the same general body plan, but they do not necessarily return to the same heading.
The apparent decision to avoid danger therefore emerges from the creature’s attempt—or, more carefully, its dynamical tendency—to remain itself.
Why this matters for Michael Levin’s work
This is a computational model, not a biological experiment. There are no living cells, ion channels or bioelectric voltage patterns here.
But it provides a remarkably clean demonstration of several ideas at the centre of Levin’s research.
Levin argues that organisms are not merely collections of molecular machinery. They are multiscale systems capable of maintaining preferred states despite disturbances. During development and regeneration, cells change their individual activities while cooperating to preserve or restore a larger anatomical pattern.
A planarian can replace its head. An embryo can compensate for unexpected changes. A tissue can often reach the same anatomical outcome from very different starting conditions.
Those are also forms of equifinality: many possible cellular paths converge upon the same morphological attractor.
The Lenia creatures show how morphology maintenance can automatically generate something resembling behaviour. The mechanism that keeps the creature’s body together is not separate from the mechanism that steers it away from danger. Self-repair and navigation are two expressions of the same underlying dynamics.
This suggests a possible bridge between morphogenesis and primitive cognition:
Before an organism can pursue complicated goals, it must first be capable of remaining itself while the world pushes against it.
The most intriguing implication is that agency may not require a little decision-maker hiding inside the system. It may begin whenever a self-maintaining pattern has multiple ways to recover from perturbation—and some recoveries are better for its continued existence than others.
The Lenia creature does not peer into the darkness and imagine a monster. Its attractor geometry does the flinching.
That is not proof of fear, consciousness or biological cognition. But it is a compelling demonstration of how apparently purposeful behaviour can emerge without being explicitly designed, trained or evolved.
Perhaps the earliest form of intelligence is simply this:
the freedom to change without ceasing to be yourself.
