Vehicles
Vehicles: Experiments in Synthetic Psychology, written by Valentino Braitenberg in 1984, has had a lasting influence on how we think about the elationship between simplicity and complexity.
Braitenberg’s deceptively simple “vehicles” revealed how intricate, lifelike behaviors can emerge from minimal underlying mechanisms and how readily we project intention, emotion or intelligence onto them.
This article series revisits that foundational work. It aims to reconstruct and explore several of Braitenberg’s core experiments, not just as historical artifacts, but as living ideas that continue to shape fields like robotics, cognitive science and artificial intelligence. By restaging these mechanisms, we can better understand both their original insight and their enduring relevance today.
Why Braitenberg Still Matters
Simple sensorimotor loops still explain more than we admit.
A short opening essay on why Vehicles still matters for AI, robotics, and software.
Getting Around
A single sensor and a single motor are enough to trigger stories.
Restlessness, temperature fields, and the speed with which observers hallucinate intention.
Fear and Aggression
Cross one wire and approach becomes avoidance.
How same-side and crossed excitation create radically different behavior.
Love
Inhibitory wiring makes machines linger, orbit, and appear selective.
Tiny changes in coupling can produce behavior that looks social.
Values and Special Tastes
Preference lives in the transfer curve.
How tuned nonlinear responses begin to look like taste and aversion.
Logic
Thresholds are where mechanism starts to look rule-like.
Simple gates, compound triggers, and the illusion of deliberation.
Selection, the Impersonal Engineer
Competence can accumulate without a planner.
Selection pressure as a search process for viable mechanisms.
Concepts
Categories can emerge from use before they exist as symbols.
Concept-like behavior from recurrent structure and selective response.
Space, Things, and Movements
A world model can be implicit in the loop, not explicit in memory.
How sensorimotor coupling starts to look like spatial understanding.
Shapes
Form can be inferred from how interaction unfolds over time.
Shape perception as accumulated relation, not static inspection.
Getting Ideas
Novelty often looks like recombination before it looks like insight.
Internal activation, recombination, and the mechanics of idea-like behavior.
Rules and Regularities
Pattern sensitivity is a mechanism before it is a theorem.
What it means for a simple system to become responsive to regularity.
Trains of Thought
Persistence and chaining make sequences feel cognitive.
How recurring transitions and retained activation begin to look like thought.
Foresight
Prediction can appear long before explicit planning does.
Anticipation, delayed effects, and mechanism that feels prospective.
Egotism and Optimism
Bias is one of the fastest ways to make a system feel human.
Asymmetric evaluation, self-reference, and observer-friendly distortion.