O. D. Perez

Dual-system free-operant avoidance: extension of a theory

The paper extends a theory of positively reinforced behavior to the aversive domain, explaining how avoidance responding is influenced by negative reinforcement rates and schedule differences.

Sub-sampling of cues in associative learning

This study shows that summation in human predictive learning can be eliminated by adding partially reinforced cues, suggesting a sub-sampling mechanism rather than configural processing.

Confirmation bias optimizes reward learning

The paper examines how confirmation bias improves reward learning by counteracting noise, using human data and simulations, finding it beneficial when disconfirming feedback is not ignored.

A theory of actions and habits: The interaction of rate correlation and contiguity systems in free-operant behavior

This paper presents a dual-system model of free-operant behavior, where goal-directed control depends on rate correlation and habitual control on contiguity, explaining various behavioral phenomena.

A re-examination of responding on ratio and regulated-probability interval schedules

This study re-examines the difference in response rates between ratio and interval schedules by using a regulated-probability interval schedule, finding similar response rates when IRT reinforcement is neutralized.