Michael R Waldmann
Biographic Data
| ID | 5970848 |
|---|---|
| NAME | Michael R Waldmann |
| GIVEN NAMES | Michael R |
| FAMILY NAME | Waldmann |
| SIGNATURE | WALDMANN M R |
| AFFILIATIONS | University of Göttingen |
| ORCID | 0000-0002-8831-552X |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 2 |
| FIRST PUBLICATION YEAR | 1989 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Camouflaged liability: How the distinction between civilians and soldiers influences moral judgement of permissible harm in war
Previous research has shown that people judge sacrificing a few people to save a larger number to be morally permissible when the intervention targets the threat but not when it targets the victims. We investigated whether this distinction according to the locus of intervention influences people's evaluations of wartime scenarios and whether such evaluations vary according to different types of victims (e.g., civilians vs. soldiers). We observed …
The perceived dilution of causal strength
Dependency theories of causal reasoning, such as causal Bayes net accounts, postulate that the strengths of individual causal links are independent of the causal structure in which they are embedded; they are inferred from dependency information, such as statistical regularities. We propose a psychological account that postulates that reasoners' concept of causality is richer. It predicts a systematic influence of causal structure knowledge on ca…
How to weigh lives. A computational model of moral judgment in multiple-outcome structures
The role of mechanism knowledge in singular causation judgments
How German and Italian Laypeople Reason about Distributive Shortages during Covid-19
(1) Background: The COVID-19 pandemic provided a unique opportunity to investigate how moral reasoning is influenced by individuals' exposure to a crisis and by personal, societal and temporal proximity. We examined how Italians and Germans judged different behaviors that arose because of the pandemic, which affected health and societal matters. (2) Methods: Over the course of four months and three assessment periods, we used an observational onl…
The Oxford Handbook of Causal Reasoning
Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important rol…
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…
Response bias in below-chance performance: Computation of the parametric measure β
Les auteurs analysent l'interet de la mesure parametrique beta dans le cadre de la theorie de la detection du signal. Des biais peuvent intervenir si cette mesure beta est interpretee comme une mesure de maximum vraisemblable
Response bias in below-chance performance: Computation of the parametric measure !b
No prominent works on this page.
Response bias in below-chance performance: Computation of the parametric measure β
Les auteurs analysent l'interet de la mesure parametrique beta dans le cadre de la theorie de la detection du signal. Des biais peuvent intervenir si cette mesure beta est interpretee comme une mesure de maximum vraisemblable
Response bias in below-chance performance: Computation of the parametric measure !b
The Oxford Handbook of Causal Reasoning
Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important rol…
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…
How to weigh lives. A computational model of moral judgment in multiple-outcome structures
The role of mechanism knowledge in singular causation judgments
How German and Italian Laypeople Reason about Distributive Shortages during Covid-19
(1) Background: The COVID-19 pandemic provided a unique opportunity to investigate how moral reasoning is influenced by individuals' exposure to a crisis and by personal, societal and temporal proximity. We examined how Italians and Germans judged different behaviors that arose because of the pandemic, which affected health and societal matters. (2) Methods: Over the course of four months and three assessment periods, we used an observational onl…
The perceived dilution of causal strength
Dependency theories of causal reasoning, such as causal Bayes net accounts, postulate that the strengths of individual causal links are independent of the causal structure in which they are embedded; they are inferred from dependency information, such as statistical regularities. We propose a psychological account that postulates that reasoners' concept of causality is richer. It predicts a systematic influence of causal structure knowledge on ca…
Camouflaged liability: How the distinction between civilians and soldiers influences moral judgement of permissible harm in war
Previous research has shown that people judge sacrificing a few people to save a larger number to be morally permissible when the intervention targets the threat but not when it targets the victims. We investigated whether this distinction according to the locus of intervention influences people's evaluations of wartime scenarios and whether such evaluations vary according to different types of victims (e.g., civilians vs. soldiers). We observed …
Psychology (8 works) · Cognitive psychology (5 works) · Computer Science (4 works) · Mathematics (4 works) · Psychology of Moral and Emotional Judgment (4 works) · Data mining (3 works) · Econometrics (3 works) · Epistemology (3 works) · Social Psychology (3 works) · Advanced Statistical Methods and Models (2 works)