Leveraging artificial intelligence to improve people's planning strategies

F Callaway, YR Jain… - Proceedings of the …, 2022 - National Acad Sciences
Human decision making is plagued by systematic errors that can have devastating
consequences. Previous research has found that such errors can be partly prevented by …

People's thinking plans adapt to the problem they're trying to solve

JDK Ongchoco, J Knobe, J Jara-Ettinger - Cognition, 2024 - Elsevier
Much of our thinking focuses on deciding what to do in situations where the space of
possible options is too large to evaluate exhaustively. Previous work has found that people …

[PDF][PDF] Measuring and modelling how people learn how to plan and how people adapt their planning strategies the to structure of the environment

R He, YR Jain, F Lieder - International conference on cognitive modeling, 2021 - is.mpg.de
Often we find ourselves in unknown situations where we have to make a decision based on
reasoning upon experiences. However, it is still unclear how people choose which pieces of …

Plans or outcomes: How do we attribute intelligence to others?

M Kryven, TD Ullman, W Cowan… - Cognitive …, 2021 - Wiley Online Library
Humans routinely make inferences about both the contents and the workings of other minds
based on observed actions. People consider what others want or know, but also how …

[PDF][PDF] Planning ahead in spatial search

From foraging for food to choosing a career, many decisions in life involve multi-step
planning: choices made early on determine which choices will become available later. How …

[PDF][PDF] Where do adaptive planning strategies come from

R He, F Lieder - Preprint. https://doi. org/10.13140/RG, 2022 - researchgate.net
People's planning strategies are astonishingly well adapted to the varied and complex
challenges they face daily. Where do those adaptive strategies come from? Do people …

How do people learn how to plan?

YR Jain, S Gupta, V Rakesh, P Dayan… - Conference on …, 2019 - pure.mpg.de
How does the brain learn how to plan? We reverse-engineer people's underlying learning
mechanisms by combining rational process models of cognitive plasticity with recently …

[HTML][HTML] Leveraging machine learning to automatically derive robust decision strategies from imperfect knowledge of the real world

A Mehta, YR Jain, A Kemtur, J Stojcheski… - Computational Brain & …, 2022 - Springer
Teaching people clever heuristics is a promising approach to improve decision-making
under uncertainty. The theory of resource rationality makes it possible to leverage machine …

Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics

Y Qian, M Kryven, T Gao, H Joo… - arXiv preprint arXiv …, 2021 - arxiv.org
How to build AI that understands human intentions, and uses this knowledge to collaborate
with people? We describe a computational framework for evaluating models of goal …

[PDF][PDF] Understanding and promoting effective well-doing: open questions and emerging approaches

F Lieder, M Prentice… - Preprint at https://www …, 2021 - researchgate.net
People's intentional pursuit of prosocial goals and values (ie, well-doing) is critical to the
flourishing of humanity in the long run. But some of the most socially-beneficial pursuits are …