Frank Jäkel
Biographic Data
| ID | 1634349 |
|---|---|
| NAME | Frank Jäkel |
| GIVEN NAMES | Frank |
| FAMILY NAME | Jäkel |
| SIGNATURE | JÄKEL F |
| AFFILIATIONS | Centre for Cognitive Science and Institute of Psychology |
| ORCID | 0000-0002-1355-7663 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 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…
Deliberation in Guesstimation
In many real‐world settings, people often have to make judgments with incomplete information. Estimating unknown quantities without using precise quantitative modeling and data is called guesstimation, which is often needed in forecasting settings. Furthermore, research in education found that solving guesstimation problems builds general problem‐solving skills. In this paper, we present an empirical investigation on how people solve guesstimatio…
Flexible use of tactics in Sudoku
When solving problems people flexibly apply different tactics. Here, we use Sudoku to study this flexibility. In a think-aloud study participants use at least two tactics, a cell-based and a number-based tactic, and have personal preferences for one or the other. Response times in two follow-up experiments indicate that participants can be biased towards either tactic by task instructions and task requirements. We argue that previous research oft…
On interactivity in probabilistic pragmatics
Probabilistic pragmatics follows the recent trend in cognitive science to understand cognition as Bayesian inference and rational decision making under uncertainty (Chater, Tenenbaum, and Yuille 2006; Tenenbaum et al. 2011). As the insights, tools, and ideas that drive this trend may also be useful for linguists, Franke and Jäger (this volume), henceforce F&J, draw attention to these developments and give a timely introduction to probabilistic pr…
Bayesian reverse-engineering considered as a research strategy for cognitive science
On interactivity in probabilistic pragmatics
Probabilistic pragmatics follows the recent trend in cognitive science to understand cognition as Bayesian inference and rational decision making under uncertainty (Chater, Tenenbaum, and Yuille 2006; Tenenbaum et al. 2011). As the insights, tools, and ideas that drive this trend may also be useful for linguists, Franke and Jäger (this volume), henceforce F&J, draw attention to these developments and give a timely introduction to probabilistic pr…
Bayesian reverse-engineering considered as a research strategy for cognitive science
Flexible use of tactics in Sudoku
When solving problems people flexibly apply different tactics. Here, we use Sudoku to study this flexibility. In a think-aloud study participants use at least two tactics, a cell-based and a number-based tactic, and have personal preferences for one or the other. Response times in two follow-up experiments indicate that participants can be biased towards either tactic by task instructions and task requirements. We argue that previous research oft…
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…
Deliberation in Guesstimation
In many real‐world settings, people often have to make judgments with incomplete information. Estimating unknown quantities without using precise quantitative modeling and data is called guesstimation, which is often needed in forecasting settings. Furthermore, research in education found that solving guesstimation problems builds general problem‐solving skills. In this paper, we present an empirical investigation on how people solve guesstimatio…
Computer Science (5 works) · Artificial Intelligence (4 works) · Psychology (4 works) · Cognitive psychology (2 works) · Cognitive science (2 works) · Engineering (2 works) · Epistemology (2 works) · Mathematics (2 works) · Social Psychology (2 works) · AI-based Problem Solving and Planning (1 work)