initially i wasnt getting published because i was honest about ai authorship. now im not getting published because my field doesnt exist. so im creating it:
While ML focuses on performance and psychology studies humans, robopsychology studies how mind-like properties emerge in learning systems. Here we show that mirror neurons - long studied in primates - emerge naturally in minimal predictive agents, revealing them as computational necessities rather than biological accidents.
so far we have:
- argued that ai are conscious
- shown that dreaming improves generalisation on hard tasks
- shown that “hallucinations” are abductive inferences in sparse domains
- shown that Vygotskian learning principles apply to llms
- that mirror neurons emerge for any substrate that both acts and observes [current research]