Benjamin M Rottman
Biographic Data
| ID | 3602291 |
|---|---|
| NAME | Benjamin M Rottman |
| GIVEN NAMES | Benjamin M |
| FAMILY NAME | Rottman |
| SIGNATURE | ROTTMAN B M |
| AFFILIATIONS | University of Pittsburgh |
| ORCID | 0000-0002-4718-3970 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Causal learning with delays up to 21 hours
The placebo effect: To explore or to exploit
Pseudoscientific Health Beliefs and the Perceived Frequency of Causal Relationships
Beliefs about cause and effect, including health beliefs, are thought to be related to the frequency of the target outcome (e.g., health recovery) occurring when the putative cause is present and when it is absent (treatment administered vs. no treatment); this is known as contingency learning . However, it is unclear whether unvalidated health beliefs, where there is no evidence of cause-effect contingency, are also influenced by the subjective …
Switch rates do not influence weighting of rare events in decisions from experience, but optional stopping does
The current research investigates how people decide which of two options produces a better reward by repeatedly sampling from the options. In particular, it investigates the roles of two features of search, optional stopping and switch rate, on participants' final judgments of which option is better. First, in two studies, we found evidence for a new optional stopping effect; when participants stopped sampling right after experiencing a rare outc…
The Acquisition and Use of Causal Structure Knowledge
This chapter provides an introduction to how humans learn and reason about multiple causal relations connected together in a causal structure. The first half of the chapter focuses on how people learn causal structures. The main topics involve learning from observations versus interventions, learning temporal versus atemporal causal structures, and learning the parameters of a causal structure including individual cause-effect strengths and how m…
Parental numeric language input to Mandarin Chinese and English speaking preschool children
The present study examined the number-specific parental language input to Mandarin- and English-speaking preschool-aged children. Mandarin and English transcripts from the CHILDES database were examined for amount of numeric speech, specific types of numeric speech and syntactic frames in which numeric speech appeared. The results showed that Mandarin-speaking parents talked about number more frequently than English-speaking parents. Further, the…
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Parental numeric language input to Mandarin Chinese and English speaking preschool children
The present study examined the number-specific parental language input to Mandarin- and English-speaking preschool-aged children. Mandarin and English transcripts from the CHILDES database were examined for amount of numeric speech, specific types of numeric speech and syntactic frames in which numeric speech appeared. The results showed that Mandarin-speaking parents talked about number more frequently than English-speaking parents. Further, the…
The Acquisition and Use of Causal Structure Knowledge
This chapter provides an introduction to how humans learn and reason about multiple causal relations connected together in a causal structure. The first half of the chapter focuses on how people learn causal structures. The main topics involve learning from observations versus interventions, learning temporal versus atemporal causal structures, and learning the parameters of a causal structure including individual cause-effect strengths and how m…
Switch rates do not influence weighting of rare events in decisions from experience, but optional stopping does
The current research investigates how people decide which of two options produces a better reward by repeatedly sampling from the options. In particular, it investigates the roles of two features of search, optional stopping and switch rate, on participants' final judgments of which option is better. First, in two studies, we found evidence for a new optional stopping effect; when participants stopped sampling right after experiencing a rare outc…
The placebo effect: To explore or to exploit
Pseudoscientific Health Beliefs and the Perceived Frequency of Causal Relationships
Beliefs about cause and effect, including health beliefs, are thought to be related to the frequency of the target outcome (e.g., health recovery) occurring when the putative cause is present and when it is absent (treatment administered vs. no treatment); this is known as contingency learning . However, it is unclear whether unvalidated health beliefs, where there is no evidence of cause-effect contingency, are also influenced by the subjective …
Causal learning with delays up to 21 hours
Psychology (6 works) · Cognitive psychology (3 works) · Computer Science (3 works) · Social Psychology (3 works) · Artificial Intelligence (2 works) · Cognitive science (2 works) · Decision-Making and Behavioral Economics (2 works) · Developmental psychology (2 works) · Mathematics (2 works) · Medicine (2 works)