Gopnik A. & Wellman H. M. (2012) Reconstructing constructivism: Causal models, Bayesian learning mechanisms, and the theory theory. Psychological Bulletin 138(6): 1085–1108. https://cepa.info/4909
We propose a new version of the “theory theory” grounded in the computational framework of probabilistic causal models and Bayesian learning. Probabilistic models allow a constructivist but rigorous and detailed approach to cognitive development. They also explain the learning of both more specific causal hypotheses and more abstract framework theories. We outline the new theoretical ideas, explain the computational framework in an intuitive and nontechnical way, and review an extensive but relatively recent body of empirical results that supports these ideas. These include new studies of the mechanisms of learning. Children infer causal structure from statistical information, through their own actions on the world and through observations of the actions of others. Studies demonstrate these learning mechanisms in children from 16 months to 4 years old and include research on causal statistical learning, informal experimentation through play, and imitation and informal pedagogy. They also include studies of the variability and progressive character of intuitive theory change, particularly theory of mind. These studies investigate both the physical and the psychological and social domains. We conclude with suggestions for further collaborative projects between developmental and computational cognitive scientists.
This article provides a synthesis and overview of a theory of cognitive development, rational constructivism. The basic tenets of this view are as follows: (a) Initial state: Human infants begin life with a set of proto-conceptual primitives. These early representations are not in the format of a language of thought. (b) Mature state: Human adults represent the world in terms of a set of domain-specific intuitive theories. (c) Three types of mechanisms account for learning, development, and conceptual change: language and symbol learning, Bayesian inductive learning, and constructive thinking. (d) The child is an active learner, and cognitive agency is part and parcel of development. I will discuss each of these tenets, and provide an overview of the kind of empirical evidence that supports this view. This is a non-Piagetian view though it is in the spirit of constructivist theories of development; this view emphasizes the utility of formal computational models in understanding learning and developmental change. Lastly, this view also has implications for the study of philosophy of mind and epistemology.