20 citations · 50 across the 12 of their papers we have counts for
12 papers
What are the mechanisms underlying metacognitive learning?
Ruiqi He, Falk Lieder
How is it that humans can solve complex planning tasks so efficiently despite limited cognitive resources? One reason is its ability to know how to use its limited computational re…
Toward a normative theory of (self-)management by goal-setting
Nishad Singhi, Florian Mohnert, Ben Prystawski +1
People are often confronted with problems whose complexity exceeds their cognitive capacities. To deal with this complexity, individuals and managers can break complex problems dow…
An intelligent tutor for planning in large partially observable environments
Lovis Heindrich, Saksham Consul, Falk Lieder
AI can not only outperform people in many planning tasks, but it can also teach them how to plan better. A recent and promising approach to improving human decision-making is to cr…
Boosting human decision-making with AI-generated decision aids
Frederic Becker, Julian Skirzyński, Bas van Opheusden +1
Human decision-making is plagued by many systematic errors. Many of these errors can be avoided by providing decision aids that guide decision-makers to attend to the important inf…
Have I done enough planning or should I plan more?
Ruiqi He, Yash Raj Jain, Falk Lieder
People's decisions about how to allocate their limited computational resources are essential to human intelligence. An important component of this metacognitive ability is deciding…
Optimal To-Do List Gamification for Long Term Planning
Saksham Consul, Jugoslav Stojcheski, Valkyrie Felso +1
Most people struggle with prioritizing work. While inexact heuristics have been developed over time, there is still no tractable principled algorithm for deciding which of the many…
Automatic Discovery and Description of Human Planning Strategies
Julian Skirzynski, Yash Raj Jain, Falk Lieder
Scientific discovery concerns finding patterns in data and creating insightful hypotheses that explain these patterns. Traditionally, this process required human ingenuity, but wit…
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning
Saksham Consul, Lovis Heindrich, Jugoslav Stojcheski +1
To make good decisions in the real world people need efficient planning strategies because their computational resources are limited. Knowing which planning strategies would work b…
Optimal to-do list gamification
Jugoslav Stojcheski, Valkyrie Felso, Falk Lieder
What should I work on first? What can wait until later? Which projects should I prioritize and which tasks are not worth my time? These are challenging questions that many people f…
Automatic Discovery of Interpretable Planning Strategies
Julian Skirzyński, Frederic Becker, Falk Lieder
When making decisions, people often overlook critical information or are overly swayed by irrelevant information. A common approach to mitigate these biases is to provide decision-…
Towards a Quantum-Like Cognitive Architecture for Decision-Making
Catarina Moreira, Lauren Fell, Shahram Dehdashti +2
We propose an alternative and unifying framework for decision-making that, by using quantum mechanics, provides more generalised cognitive and decision models with the ability to r…
Learning to select computations
Frederick Callaway, Sayan Gul, Paul M. Krueger +2
The efficient use of limited computational resources is an essential ingredient of intelligence. Selecting computations optimally according to rational metareasoning would achieve…