Constantin A Rothkopf
Datos Biográficos
| ID | 1938525 |
|---|---|
| NOMBRE | Constantin A Rothkopf |
| NOMBRES | Constantin A |
| APELLIDO | Rothkopf |
| FIRMA | ROTHKOPF C A |
| AFILIACIONES | Technische Universität Darmstadt |
| ORCID | 0000-0002-5636-0801 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 1 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2024 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 1 |
Towards a taxonomy of tasks for human sequential decision-making
People face a vast range of different cognitive tasks in their lives. Classic problem-solving theories do not fully capture the impact of the task structure on sequential decision-making. Here, we argue that it is important to consider task features that determine the search space structure of a task as it presents itself to the problem solver because the search space determines which algorithms are appropriate to solve the problem optimally. Kno…
People learn a two-stage control for faster locomotor interception
People can use the constant target-heading (CTH) strategy or the constant bearing (CB) strategy to guide their locomotor interception. But it is still unclear whether people can learn new interception behavior. Here, we investigated how people learn to adjust their steering to intercept targets faster. Participants steered a car to intercept a moving target in a virtual environment similar to a natural open field. Their baseline interceptions wer…
Modelling dataset bias in machine-learned theories of economic decision-making
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bi…
Modelling dataset bias in machine-learned theories of economic decision-making
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bi…
People learn a two-stage control for faster locomotor interception
People can use the constant target-heading (CTH) strategy or the constant bearing (CB) strategy to guide their locomotor interception. But it is still unclear whether people can learn new interception behavior. Here, we investigated how people learn to adjust their steering to intercept targets faster. Participants steered a car to intercept a moving target in a virtual environment similar to a natural open field. Their baseline interceptions wer…
Modelling dataset bias in machine-learned theories of economic decision-making
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bi…
Towards a taxonomy of tasks for human sequential decision-making
People face a vast range of different cognitive tasks in their lives. Classic problem-solving theories do not fully capture the impact of the task structure on sequential decision-making. Here, we argue that it is important to consider task features that determine the search space structure of a task as it presents itself to the problem solver because the search space determines which algorithms are appropriate to solve the problem optimally. Kno…
Artificial Intelligence (3 obras) · Computer Science (3 obras) · Biology (2 obras) · Action Observation and Synchronization (1 obras) · AI-based Problem Solving and Planning (1 obras) · Artificial neural network (1 obras) · Cognitive psychology (1 obras) · Cognitive science (1 obras) · Cognitive Science and Mapping (1 obras) · Complex Systems and Time Series Analysis (1 obras)