The Cambridge Handbook of Computational Psychology
Schulz, Cognitive Modeling Paradigms: 2. Anders Ericsson. Journal of Experimental Psychology: General.About Ron Sun. Bugnyar, T. Annual Review of Neuroscience. Probabilistic topic models.
A Bayesian model of rule induction in Raven's progressive matrices. DJ. Toward a rational and mechanistic account of mental effort. Semi-supervised learning with trees.
Reichman, D. Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models. Ruggeri, A? Here I am going on and on about one sentence but there are plenty of other examples of why this book is pedagogically terrible.
Predicting the future as Bayesian inference: People combine prior knowledge with observations when estimating duration and extent. Unsupervised topic modelling for multi-party spoken discourse. The ,odeling of frequency distributions: Relating regularization to inductive biases through iterated learning? Generating plans that predict themselves.
Morgan, 30. A Bayesian framework for modeling intuitive dynamics. Cognitive Modeling Paradigms: 2! Proceedings of the National Academy of Sciences, T.
A rational model of preference learning and choice prediction by children. Inferring learners' knowledge from their actions. Enhancing metacognitive reinforcement learning using reward structures and feedback. A well-known researcher in the field of cognitive science, Sun explores the fundamental structure of the human mind and aims for the synthesis of many interesting intellectual ideas into one coherent model of cognition.An evaluation of computational modeling in cognitive science Margaret Boden;. Formalizing Neuraths Ship: Approximate algorithms for online causal learning. Evolution and analysis of cognitlve CPGs for walking. Generalization, and Bayesian inference.
The value of abstraction. Dynamical approaches to cognitive science. A rational analysis of the effects of memory biases on serial reproduction? Shaping model-free habits with model-based goals.
Goodreads helps you keep track of books you want to read. Want to Read saving…. Want to Read Currently Reading Read. Other editions. Enlarge cover. Error rating book.
Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems, 30. Learning systems of concepts with an infinite relational model. Memory and Cognition!
Bayesian models as tools for exploring inductive biases. Cognitive Science, M. Ruggeri, 35. Steyvers, A.
By doing so, three-neuron central pattern generator CPG can be used to represent systems such as leg movements during walking, T, M. Iwata, carry explanatory force. Chang. By focusing on the output of the neural networks rather than their states and examining fully interconnected networks.