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Planning and construal
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computing > AI
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computing > AI > planning
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computing > AI > problem-solving
Task construal: forming a representation of the task. Awareness sampling: ask the participant whether they were aware of something.
Introduction to Reinforcement Learning
R. Sutton, A. Barto
1998
PAPER
Empirical Fitting of Discrete Distributions
J. Douglas, B. Leroux, M. Puterman et al.
1994
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An Investigation of Visual Search as a Means of Analyzing Heuristics
O. Tikhomirov, E. D. Poznyanskaya
1966
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Information-processing analysis of perceptual processes in problem solving.
H. Simon, M. Barenfeld
1969Psychology Review
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An Investigation of Visual Search as a Means of Analyzing Heuristics
O. Tikhomirov, E. D. Poznyanskaya
1966
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People construct simplified mental representations to plan.
Mark K. Ho, David Abel, Carlos G Correa et al.
2021Nature
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On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, E. Adeli et al.
2021ArXiv
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A Generalist Agent
S. Reed, Konrad Zolna, Emilio Parisotto et al.
2022ArXiv
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Experimentation in software engineering: an introduction
C. Wohlin, P. Runeson, Martin Höst et al.
2000
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Manifesto for a new (computational) cognitive revolution
T. Griffiths
2015Cognition
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An integrative theory of prefrontal cortex function.
E. Miller, J. Cohen
2001Annual Review of Neuroscience
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Filling the gaps: Cognitive control as a critical lens for understanding mechanisms of value-based decision-making
R. Frömer, A. Shenhav
2021Neuroscience and Biobehavioral Reviews
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Toward a Rational and Mechanistic Account of Mental Effort.
A. Shenhav, Sebastian Musslick, Falk Lieder et al.
2017Annual Review of Neuroscience
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Hidden processes in structural representations: A reply to Abbott, Austerweil, and Griffiths (2015).
Michael N. Jones, Thomas T. Hills, P. Todd et al.
2015Psychology Review
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Cognitive Control as Cost-Benefit Decision Making
Wouter Kool, Amitai Shenhav, Matthew M. Botvinick et al.
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The Wiley Handbook of Cognitive Control
T. Egner
2017
BOOK
Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic
T. Griffiths, Falk Lieder, Noah D. Goodman et al.
2015Topics in Cognitive Science
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Novelty and Inductive Generalization in Human Reinforcement Learning
S. Gershman, Y. Niv
2015Topics in Cognitive Science
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Ad hoc categories
L. Barsalou
1983Memory & Cognition
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Learning to Act Using Real-Time Dynamic Programming
A. Barto, S. Bradtke, Satinder Singh et al.
1995Artificial Intelligence
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Faster Heuristic Search Algorithms for Planning with Uncertainty and Full Feedback
Blai Bonet, Hector Geffner
2003International Joint Conference on Art...
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Labeled RTDP: Improving the Convergence of Real-Time Dynamic Programming
Blai Bonet, Hector Geffner
2003International Conference on Automated...
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A Formal Basis for the Heuristic Determination of Minimum Cost Paths
P. Hart, N. Nilsson, B. Raphael et al.
1968IEEE Transactions on Systems Science ...
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A Framework for Reinforcement Learning and Planning
T. Moerland, J. Broekens, C. Jonker et al.
2020ArXiv
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Abstraction-Guided Sampling for Motion Planning
S. Kiesel, E. Burns, Wheeler Ruml et al.
2021Symposium on Combinatorial Search
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Shakey: From Conception to History
B. Kuipers, E. Feigenbaum, P. Hart et al.
2017The AI Magazine
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Monitoring and control of anytime algorithms: A dynamic programming approach
E. Hansen, S. Zilberstein
2001Artificial Intelligence
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LAO*: A heuristic search algorithm that finds solutions with loops
E. Hansen, S. Zilberstein
2001Artificial Intelligence
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Resource-rational Task Decomposition to Minimize Planning Costs
Carlos G Correa, Mark K. Ho, Frederick Callaway et al.
2020Annual Meeting of the Cognitive Scien...
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Humans decompose tasks by trading off utility and computational cost
Carlos G Correa, Mark K. Ho, Frederick Callaway et al.
2022ArXiv
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Planning with Theory of Mind
M. Ho, R. Saxe, F. Cushman
2022Trends in Cognitive Sciences
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The Problems with Problem Solving: Reflections on the Rise, Current Status, and Possible Future of a Cognitive Research Paradigm
S. Ohlsson
2012Journal of Problem Solving
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Fungal foraging behaviour and hyphal space exploration in micro-structured Soil Chips
Kristin Aleklett, P. Ohlsson, M. Bengtsson et al.
2021The ISME Journal
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On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll, Rohin Shah, Mark K. Ho et al.
2019Neural Information Processing Systems
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Showing versus doing: Teaching by demonstration
Mark K. Ho, M. Littman, J. MacGlashan et al.
2016NIPS
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Communication in action: Planning and interpreting communicative demonstrations.
Mark K. Ho, F. Cushman, M. Littman et al.
2021Journal of experimental psychology. G...
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Effectively Learning from Pedagogical Demonstrations
Mark K. Ho, M. Littman, F. Cushman et al.
2018Annual Meeting of the Cognitive Scien...
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People Teach With Rewards and Punishments as Communication, Not Reinforcements
Mark K. Ho, F. Cushman, M. Littman et al.
2019Journal of experimental psychology. G...
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