Agentic behavioral modeling (ABM) formalizes AI agents as generative hypotheses for human cognition, derives likelihoods for two standard tasks, and demonstrates equivalence between Rescorla-Wagner learning and Bayesian inference in symmetric bandits.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.NC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
On Agentic Behavioral Modeling
Agentic behavioral modeling (ABM) formalizes AI agents as generative hypotheses for human cognition, derives likelihoods for two standard tasks, and demonstrates equivalence between Rescorla-Wagner learning and Bayesian inference in symmetric bandits.