Causal Learning: Psychology, Philosophy, and ComputationAlison Gopnik, Laura Schulz Understanding causal structure is a central task of human cognition. Causal learning underpins the development of our concepts and categories, our intuitive theories, and our capacities for planning, imagination and inference. During the last few years, there has been an interdisciplinary revolution in our understanding of learning and reasoning: Researchers in philosophy, psychology, and computation have discovered new mechanisms for learning the causal structure of the world. This new work provides a rigorous, formal basis for theory theories of concepts and cognitive development, and moreover, the causal learning mechanisms it has uncovered go dramatically beyond the traditional mechanisms of both nativist theories, such as modularity theories, and empiricist ones, such as association or connectionism. |
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Page 10
... (1953). This finding has also been replicated across species and ages; like instrumental learning, classical conditioning is an ontogenetically, phylogentically, early, robust development. Rescorla 10 CAUSAL LEARNING.
... (1953). This finding has also been replicated across species and ages; like instrumental learning, classical conditioning is an ontogenetically, phylogentically, early, robust development. Rescorla 10 CAUSAL LEARNING.
Page 12
... Your description of the different positions in the psychology of causal learning is indeed reminiscent of the classical positions in the philosophical literature –partly, I suppose, because historically 12 CAUSAL LEARNING.
... Your description of the different positions in the psychology of causal learning is indeed reminiscent of the classical positions in the philosophical literature –partly, I suppose, because historically 12 CAUSAL LEARNING.
Page 13
... causal learning—the things you say your sprogs are so good at doing and the theories are so bad at explaining—well, they're just the sort of things that the interventionist/causal Bayes net account seems, well, destined for. My learning ...
... causal learning—the things you say your sprogs are so good at doing and the theories are so bad at explaining—well, they're just the sort of things that the interventionist/causal Bayes net account seems, well, destined for. My learning ...
Page 14
... . In P. Green, N. Hjort, & S. Richardson (Eds.), Highly structured stochastic systems. Oxford, England: Oxford University Press pp. 1–12. Rogers, T., & McLelland, J. (2004). Semantic cognition: A parallel 14 CAUSAL LEARNING.
... . In P. Green, N. Hjort, & S. Richardson (Eds.), Highly structured stochastic systems. Oxford, England: Oxford University Press pp. 1–12. Rogers, T., & McLelland, J. (2004). Semantic cognition: A parallel 14 CAUSAL LEARNING.
Page 15
... inference in causal chains. British Journal of Psychology, 72,235–241. Shanks, D. R. (1990). Connectionism and the learning of probabilistic concepts. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 42,209 ...
... inference in causal chains. British Journal of Psychology, 72,235–241. Shanks, D. R. (1990). Connectionism and the learning of probabilistic concepts. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 42,209 ...
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Causal Learning: Psychology, Philosophy, and Computation Alison Gopnik,Laura Schulz Limited preview - 2007 |
Causal Learning: Psychology, Philosophy, and Computation Alison Gopnik,Laura Schulz Limited preview - 2007 |
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