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Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian
  Theory of Mind

Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind

24 June 2021
Arwa Alanqary
Gloria Lin
Joie Le
Zhi-Xuan Tan
Vikash K. Mansinghka
J. Tenenbaum
ArXiv (abs)PDFHTML

Papers citing "Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind"

16 / 16 papers shown
Title
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly
Lance Ying
Ryan Truong
Katherine M. Collins
Cedegao E. Zhang
Megan Wei
Tyler Brooke-Wilson
Tan Zhi-Xuan
Lionel Wong
J. Tenenbaum
LLMAG
10
0
0
20 Jun 2025
Belief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality
Belief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality
Lance Ying
Almog Hillel
Ryan Truong
Vikash K. Mansinghka
Joshua B. Tenenbaum
Tan Zhi-Xuan
FAtt
144
0
0
26 May 2025
Enhancing Robot Assistive Behaviour with Reinforcement Learning and
  Theory of Mind
Enhancing Robot Assistive Behaviour with Reinforcement Learning and Theory of Mind
Antonio Andriella
Giovanni Falcone
Silvia Rossi
52
0
0
11 Nov 2024
Beyond Preferences in AI Alignment
Beyond Preferences in AI Alignment
Tan Zhi-Xuan
Micah Carroll
Matija Franklin
Hal Ashton
138
18
0
30 Aug 2024
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down
  Bayesian Filtering of Bottom-Up Proposals
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals
Zhi-Xuan Tan
Gloria Kang
Vikash K. Mansinghka
Joshua B. Tenenbaum
LRM
53
5
0
23 Jul 2024
Building Machines that Learn and Think with People
Building Machines that Learn and Think with People
Katherine M. Collins
Ilia Sucholutsky
Umang Bhatt
Kartik Chandra
Lionel Wong
...
Mark K. Ho
Vikash K. Mansinghka
Adrian Weller
Joshua B. Tenenbaum
Thomas Griffiths
133
38
0
22 Jul 2024
Learning Goal-Conditioned Representations for Language Reward Models
Learning Goal-Conditioned Representations for Language Reward Models
Vaskar Nath
Dylan Slack
Jeff Da
Yuntao Ma
Hugh Zhang
Spencer Whitehead
Sean Hendryx
56
0
0
18 Jul 2024
Large Language Models Assume People are More Rational than We Really are
Large Language Models Assume People are More Rational than We Really are
Ryan Liu
Jiayi Geng
Joshua C. Peterson
Ilia Sucholutsky
Thomas Griffiths
162
20
0
24 Jun 2024
Pragmatic Instruction Following and Goal Assistance via Cooperative
  Language-Guided Inverse Planning
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
Zhi-Xuan Tan
Lance Ying
Vikash K. Mansinghka
Joshua B. Tenenbaum
113
23
0
27 Feb 2024
Concept Alignment as a Prerequisite for Value Alignment
Concept Alignment as a Prerequisite for Value Alignment
Sunayana Rane
Mark K. Ho
Ilia Sucholutsky
Thomas Griffiths
CVBM
60
6
0
30 Oct 2023
Inferring the Goals of Communicating Agents from Actions and
  Instructions
Inferring the Goals of Communicating Agents from Actions and Instructions
Lance Ying
Zhi-Xuan Tan
Vikash K. Mansinghka
J. Tenenbaum
LLMAG
85
20
0
28 Jun 2023
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling
  Probabilistic Social Inferences from Linguistic Inputs
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs
Lance Ying
Katherine M. Collins
Megan Wei
Cedegao E. Zhang
Tan Zhi-Xuan
Adrian Weller
J. Tenenbaum
L. Wong
121
16
0
25 Jun 2023
The Effect of Modeling Human Rationality Level on Learning Rewards from
  Multiple Feedback Types
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types
Gaurav R. Ghosal
M. Zurek
Daniel S. Brown
Anca Dragan
109
28
0
23 Aug 2022
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian
  Theory of Mind
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind
Tan Zhi-Xuan
Nishad Gothoskar
Falk Pollok
Dan Gutfreund
J. Tenenbaum
Vikash K. Mansinghka
75
12
0
04 Aug 2022
Why we need biased AI -- How including cognitive and ethical machine
  biases can enhance AI systems
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems
Sarah Fabi
Thilo Hagendorff
70
12
0
18 Mar 2022
Cognitive science as a source of forward and inverse models of human
  decisions for robotics and control
Cognitive science as a source of forward and inverse models of human decisions for robotics and control
Mark K. Ho
Thomas Griffiths
122
38
0
01 Sep 2021
1