The energy cost of intelligence
What does intelligence cost in physical terms?
A framework for comparing the energy required for specific cognitive tasks, with performance, system boundaries, and measurement kept in view.
Could a different mathematical language reveal a different way to model cognition?
01 / MOTIVATING OBSERVATION
A persistent question behind the lab is whether the mathematical tools used by today's machines capture the relationships that matter for intelligence—or make some kinds of relationships harder to express.
02 / STARTING CONTEXT
Quantum probability has been explored in cognitive modeling. Using its mathematics to model behavior is a separate question from proposing a quantum computer, or asserting a quantum mechanism in the brain.
03 / WORKING HYPOTHESIS
For a carefully chosen cognitive task, a quantum-inspired model may offer a useful representation of context and changing judgments. Its value must be assessed against a competitive classical model.
04 / PROPOSED INVESTIGATION
05 / WHAT WOULD CHALLENGE THE IDEA?
If a classical model explains the same observations with comparable or lower complexity, a distinctive advantage has not been established.
STARTING LITERATURE
External work by other researchers provides context for this direction.
DOCUMENTING THE WORK
Papers, simulations, and video explanations will be linked as this investigation develops.
Visit the notebookWhat does intelligence cost in physical terms?
A framework for comparing the energy required for specific cognitive tasks, with performance, system boundaries, and measurement kept in view.
Which mechanisms in nature could change how we build machines?
Investigate biological mechanisms as sources of precise computational ideas, from adaptive networks to the physical organization of information and energy transfer.