标题
Planning with Theory of Mind
作者
关键词
-
出版物
TRENDS IN COGNITIVE SCIENCES
Volume 26, Issue 11, Pages 959-971
出版商
Elsevier BV
发表日期
2022-09-08
DOI
10.1016/j.tics.2022.08.003
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- People construct simplified mental representations to plan
- (2022) Mark K. Ho et al. NATURE
- Value computation in humans
- (2022) Daniel Sznycer EVOLUTION AND HUMAN BEHAVIOR
- Neural correlates of spontaneous deception in a non-competitive interpersonal scenario: A functional near-infrared spectroscopy (fNIRS) study
- (2021) Xiaohong Allison Lin et al. BRAIN AND COGNITION
- Communication in action: Planning and interpreting communicative demonstrations.
- (2021) Mark K. Ho et al. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL
- The neural correlates of referential communication: Taking advantage of sparse-sampling fMRI to study verbal communication with a real interaction partner
- (2021) Amélie M. Achim et al. BRAIN AND COGNITION
- The computational challenge of social learning
- (2021) Oriel FeldmanHall et al. TRENDS IN COGNITIVE SCIENCES
- Generating Options and Choosing Between Them Depend on Distinct Forms of Value Representation
- (2021) Adam Morris et al. PSYCHOLOGICAL SCIENCE
- Moral dynamics: Grounding moral judgment in intuitive physics and intuitive psychology
- (2021) Felix A. Sosa et al. COGNITION
- Emotion as Information in Early Social Learning
- (2021) Yang Wu et al. CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE
- Discovery of hierarchical representations for efficient planning
- (2020) Momchil S. Tomov et al. PLoS Computational Biology
- Mastering Atari, Go, chess and shogi by planning with a learned model
- (2020) Julian Schrittwieser et al. NATURE
- You took the words right out of my mouth: Dual-fMRI reveals intra- and inter-personal neural processes supporting verbal interaction.
- (2020) M. Salazar et al. NEUROIMAGE
- Optimizing the depth and the direction of prospective planning using information values
- (2019) Can Eren Sezener et al. PLoS Computational Biology
- Habits without values.
- (2019) Kevin J. Miller et al. PSYCHOLOGICAL REVIEW
- Rationalization is rational
- (2019) Fiery Cushman BEHAVIORAL AND BRAIN SCIENCES
- Young children consider the expected utility of others’ learning to decide what to teach
- (2019) Sophie Bridgers et al. Nature Human Behaviour
- The value of abstraction
- (2019) Mark K Ho et al. Current Opinion in Behavioral Sciences
- Giving others the option of choice: An fMRI study on low-cost cooperation
- (2018) Imke L.J. Lemmers-Jansen et al. NEUROPSYCHOLOGIA
- Modeling the Predictive Social Mind
- (2018) Diana I. Tamir et al. TRENDS IN COGNITIVE SCIENCES
- Prioritized memory access explains planning and hippocampal replay
- (2018) Marcelo G. Mattar et al. NATURE NEUROSCIENCE
- Dehumanization increases instrumental violence, but not moral violence
- (2017) Tage S. Rai et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Psychology of Habit
- (2016) Wendy Wood et al. Annual Review of Psychology
- Building machines that learn and think like people
- (2016) Brenden M. Lake et al. BEHAVIORAL AND BRAIN SCIENCES
- Third-party punishment as a costly signal of trustworthiness
- (2016) Jillian J. Jordan et al. NATURE
- Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network
- (2016) Jan Balaguer et al. NEURON
- Adaptive integration of habits into depth-limited planning defines a habitual-goal–directed spectrum
- (2016) Mehdi Keramati et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Pragmatic Language Interpretation as Probabilistic Inference
- (2016) Noah D. Goodman et al. TRENDS IN COGNITIVE SCIENCES
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Habitual control of goal selection in humans
- (2015) Fiery Cushman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Evidence integration in model-based tree search
- (2015) Alec Solway et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Interplay of approximate planning strategies
- (2015) Quentin J. M. Huys et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The reputation of punishers
- (2015) Nichola J. Raihani et al. TRENDS IN ECOLOGY & EVOLUTION
- A rational account of pedagogical reasoning: Teaching by, and learning from, examples
- (2014) Patrick Shafto et al. COGNITIVE PSYCHOLOGY
- The algorithmic anatomy of model-based evaluation
- (2014) N. D. Daw et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Nonliteral understanding of number words
- (2014) J. T. Kao et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Models of morality
- (2013) Molly J. Crockett TRENDS IN COGNITIVE SCIENCES
- Habits, action sequences and reinforcement learning
- (2012) Amir Dezfouli et al. EUROPEAN JOURNAL OF NEUROSCIENCE
- Bonsai Trees in Your Head: How the Pavlovian System Sculpts Goal-Directed Choices by Pruning Decision Trees
- (2012) Quentin J. M. Huys et al. PLoS Computational Biology
- Ventral Striatum and Orbitofrontal Cortex Are Both Required for Model-Based, But Not Model-Free, Reinforcement Learning
- (2011) M. A. McDannald et al. JOURNAL OF NEUROSCIENCE
- An fMRI study of violations of social expectations: When people are not who we expect them to be
- (2011) J. Cloutier et al. NEUROIMAGE
- Model-Based Influences on Humans' Choices and Striatal Prediction Errors
- (2011) Nathaniel D. Daw et al. NEURON
- Disruption of the right temporoparietal junction with transcranial magnetic stimulation reduces the role of beliefs in moral judgments
- (2010) L. Young et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Reinforcement learning: The Good, The Bad and The Ugly
- (2008) Peter Dayan et al. CURRENT OPINION IN NEUROBIOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started