Rational analysis

  1. Ten years of the rational analysis of cognition
  2. The philosophy and the approach
  3. Introduction to "The Adaptive Character of Thought"

Probabilistic models of cognition

  1. Pure reasoning in 12-month-old infants as probabilistic inference
  2. How to grow a mind: statistics, structure, and abstraction
  3. Bayesian learning theory applied to human cognition
  4. The discovery of structural form
  5. Probabilistic models of cognition: exploring representations and inductive biases
  6. Optimal predictions in everyday cognition
  7. Generalization, similarity, and Bayesian inference

Probabilistic models of perception

  1. Humans integrate visual and haptic information in a statistically optimal fashion
  2. Bayesian integration in sensorimotor learning
  3. Demo: Motion illusions as optimal percepts
  4. Motion illusions as optimal percepts

Analysis by synthesis

  1. Speech recognition: a model and a program for research
  2. Analysis by synthesis: A (re-)emerging program of research for language and vision
  3. Vision as Bayesian inference: analysis by synthesis?

Generative models

  1. On discriminative vs. generative classifiers: a comparison of logistic regression and naive Bayes
  2. Whatever next? Predictive brains, situated agents, and the future of cognitive science
  3. The role of generative knowledge in object perception
  4. The Helmholtz machine
  5. Concerning the perceptions in general
  6. Hypothesis on the nature of thought

Planning and decision making

  1. Model-based Bayesian reinforcement learning in large structured domains
  2. Human-level control through deep reinforcement learning
  3. Demo: Bayes-Adaptive Monte-Carlo Tree Search
  4. Scalable and efficient Bayes-adaptive reinforcement learning based on Monte-Carlo tree search
  5. Model based Bayesian exploration
  6. A survey of Monte Carlo Tree Search methods

Mental models

  1. Kinematic mental simulations in abduction and deduction
  2. Inference with mental models
  3. Qualitative modeling
  4. Qualitative simulation
  5. Mental models

Physical reasoning with dynamics models

  1. The scope and limits of simulation in automated reasoning
  2. Model-based reinforcement learning with parametrized physical models and optimism-driven exploration
  3. Physics-based trajectory optimization for grasping in cluttered environments
  4. Detecting potential falling objects by inferring human action and natural disturbance
  5. Tracking deformable objects with point clouds
  6. Model learning for robot control: a survey
  7. Robust physics-based locomotion using low-dimensional planning
  8. Seeing physics, or: physics is for prediction

Physical reasoning without dynamics models

  1. Model-free probabilistic movement primitives for physical interaction
  2. Stabilizing novel objects by learning to predict tactile slip
  3. Learning force-based manipulations of deformable objects from multiple demonstrations
  4. Learning from demonstrations through the use of non-rigid registration

Planning under uncertain dynamics

  1. Learning compound multi-step controllers under unknown dynamics
  2. Learning contact-rich manipulation skills with guided policy search
  3. Robust Adaptive Markov Decision Processes

Mental imagery

  1. Are things that are hard to physically move also hard to imagine moving?
  2. The emulation theory of representation: motor control, imagery, and perception
  3. Explorations of a creative visual synthesis in mental imagery
  4. Aspects of a cognitive neuroscience of mental imagery
  5. Eye fixations and cognitive processes
  6. Mental rotation of three-dimensional objects

Memory and imagination

  1. The simulation heuristic
  2. The future of memory: remembering, imagining, and the brain

Embodied language

  1. Embodied language: a review of the role of the motor system in language comprehension
  2. Spatial and linguistic aspects of visual imagery in sentence comprehension
  3. Fictive motion as cognitive simulation

Motor control and action

  1. The experience of force: the role of haptic experience of forces in visual perception of object motion and interactions, mental simulation, and motion-related judgments
  2. Prediction precedes control in motor learning
  3. Internal models for motor control and trajectory planning
  4. Temporal and kinematic properties of motor behavior reflected in mentally simulated action

Physical reasoning

  1. Visual perception and interception of falling objects: a review of evidence for an internal model of gravity
  2. Physical imagery: kinematic versus dynamic models
  3. Representing statics as forces in equilibrium

Representational momentum

  1. Representational momentum and related displacements in spatial memory: a review of the findings
  2. Representational momentum

Theory of mind

  1. Against simulation: the argument from error
  2. Why the child's theory of mind really is a theory
  3. In defense of the simulation theory
  4. Folk psychology: simulation or tacit theory?
  5. The simulation theory: objections and misconceptions

Thought experiments

  1. Thought experiments
  2. The role of imagistic simulation in scientific thought experiments
  3. "What if...": The use of conceptual simulations in scientific reasoning
  4. Galileo and the indispensability of scientific thought experiment

Theory learning

  1. Theory learning as a stochastic search in a language of thought
  2. A probabilistic model of theory formation
  3. Theory-based causal induction
  4. Learning overhypotheses with hierarchical Bayesian models

Challenges for probabilistic models of cognition

  1. Bayesian fundamentalism or enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition
  2. Unfalsifiability and mutual translatability of major modeling schemes in choice reaction time
  3. Optimal predictions in everyday cognition: the wisdom of individuals or crowds?
  4. Judgment under uncertainty: heuristics and biases
  5. On the psychology of prediction

Rational process models

  1. Rational use of cognitive resources: levels of analysis between the computational and the algorithmic
  2. Selecting computations: theory and applications

Physically-based animation

  1. Evaluation of real-time physics simulation systems
  2. Physically based deformable models in computer graphics
  3. Particle-based fluid simulation for interactive applications
  4. Simulation of clothing with folds and wrinkles
  5. Nonconvex rigid bodies with stacking
  6. Stable real-time deformations
  7. Stable fluids

Probabilistic simulation

  1. Demo: The unscented particle filter
  2. The unscented particle filter


  1. Qualifying exam written responses