1,025 research outputs found

    Changing minds: Children's inferences about third party belief revision

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    By the age of 5, children explicitly represent that agents can have both true and false beliefs based on epistemic access to information (e.g., Wellman, Cross, & Watson, 2001). Children also begin to understand that agents can view identical evidence and draw different inferences from it (e.g., Carpendale & Chandler, 1996). However, much less is known about when, and under what conditions, children expect other agents to change their minds. Here, inspired by formal ideal observer models of learning, we investigate children's expectations of the dynamics that underlie third parties' belief revision. We introduce an agent who has prior beliefs about the location of a population of toys and then observes evidence that, from an ideal observer perspective, either does, or does not justify revising those beliefs. We show that children's inferences on behalf of third parties are consistent with the ideal observer perspective, but not with a number of alternative possibilities, including that children expect other agents to be influenced only by their prior beliefs, only by the sampling process, or only by the observed data. Rather, children integrate all three factors in determining how and when agents will update their beliefs from evidence.National Science Foundation (U.S.). Division of Computing and Communication Foundations (1231216)National Science Foundation (U.S.). Division of Research on Learning in Formal and Informal Settings (0744213)National Science Foundation (U.S.) (STC Center for Brains, Minds and Machines Award CCF-1231216)National Science Foundation (U.S.) (0744213

    Changing minds: Children’s inferences about third party belief revision

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    By the age of 5, children explicitly represent that agents can have both true and false beliefs based on epistemic access to information (e.g., Wellman, Cross, & Watson, 2001). Children also begin to understand that agents can view identical evidence and draw different inferences from it (e.g., Carpendale & Chandler, 1996). However, much less is known about when, and under what conditions, children expect other agents to change their minds. Here, inspired by formal ideal observer models of learning, we investigate children’s expectations of the dynamics that underlie third parties’ belief revision. We introduce an agent who has prior beliefs about the location of a population of toys and then observes evidence that, from an ideal observer perspective, either does, or does not justify revising those beliefs. We show that children’s inferences on behalf of third parties are consistent with the ideal observer perspective, but not with a number of alternative possibilities, including that children expect other agents to be influenced only by their prior beliefs, only by the sampling process, or only by the observed data. Rather, children integrate all three factors in determining how and when agents will update their beliefs from evidence.Young children use others’ prior beliefs and data to predict when third parties will retain their beliefs and when they will change their minds.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142970/1/desc12553_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142970/2/desc12553.pd

    How do I Know what you Know? A Novel Theoretical Account of Epistemic Inference

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    Of the capacities that make us uniquely human—pedagogy, social learning, coop- eration, communication, moral evaluation—all hinge, at least in part, on an under- standing of what others know or believe. Critically, we cannot see mental states: we have access only to the observable behaviors they cause. So, to navigate the social world, we must often infer what others think from observing what they do. While prior work has investigated how children and adults infer preferences, goals, and desires from behavior, little research has investigated how we infer epistemic states (knowledge and beliefs). In this thesis, I expand upon existing accounts of mental state reasoning to formalize a novel theoretical account of epistemic inference. I test whether this account captures adults’ knowledge inferences, and use it to systemati- cally investigate the development of our capacities

    Inference, exploration and evaluation in early childhood

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    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2012.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (p. 107-116).Some of the biggest achievements in our lives are made even before we learn to tie our shoes. Within a few years of life, we master a language, acquire cultural norms, and develop naĂŻve, yet rich, abstract, coherent theories about how the world works. How do young learners achieve such a feat? The goal of my thesis is to lay the groundwork for a unified account of a rational inference mechanism that underlies this remarkable human faculty to learn so much, so fast, from so little. The first study (Chapter 2) provides evidence that 16-month-old infants can use co-variation information among agents and objects to infer the cause of their failed actions; depending on their attribution, infants either approached another agent or another object. The second study (Chapter 3) shows that 15-month-old infants consider both the sample and the sampling process to rationally generalize properties of novel objects in the absence of behavioral cues. The results are consistent with the quantitative predictions of a Bayesian model, and suggest that infants' inferences are graded with respect to the probability of the sample. Finally, the third study (Chapter 4) shows that older children make sophisticated inferences about properties of agents; children evaluated an informant based on information he provided, and such evaluations affected how children learned from that informant. These studies provide evidence for rational, probabilistic, domain-general inference mechanisms in preverbal infants, and demonstrate how young learners seamlessly integrate data from different sources in ways that affect their exploration, generalization, and evaluation of both the physical and the social world.by Hyowon Gweon.Ph.D

    Developmental and computational perspectives on infant social cognition

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    Adults effortlessly and automatically infer complex pat- terns of goals, beliefs, and other mental states as the causes of others’ actions. Yet before the last decade little was known about the developmental origins of these abilities in early infancy. Our understanding of infant social cognition has now improved dramatically: even preverbal infants appear to perceive goals, preferences (Kushnir, Xu, & Wellman, in press), and even beliefs from sparse observations of inten- tional agents’ behavior. Furthermore, they use these infer- ences to predict others’ behavior in novel contexts and to make social evaluations (Hamlin, Wynn, & Bloom, 2007). Keywords: Social cognition; Cognitive Development; Computational Modeling; Theory of Min

    Children balance theories and evidence in exploration, explanation, and learning

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    We look at the effect of evidence and prior beliefs on exploration, explanation and learning. In Experiment 1, we tested children both with and without differential prior beliefs about balance relationships (Center Theorists, mean: 82 months; Mass Theorists, mean: 89 months; No Theory children, mean: 62 months). Center and Mass Theory children who observed identical evidence explored the block differently depending on their beliefs. When the block was balanced at its geometric center (belief-violating to a Mass Theorist, but belief-consistent to a Center Theorist), Mass Theory children explored the block more, and Center Theory children showed the standard novelty preference; when the block was balanced at the center of mass, the pattern of results reversed. The No Theory children showed a novelty preference regardless of evidence. In Experiments 2 and 3, we follow-up on these findings, showing that both Mass and Center Theorists selectively and differentially appeal to auxiliary variables (e.g., a magnet) to explain evidence only when their beliefs are violated. We also show that children use the data to revise their predictions in the absence of the explanatory auxiliary variable but not in its presence. Taken together, these results suggest that children’s learning is at once conservative and flexible; children integrate evidence, prior beliefs, and competing causal hypotheses in their exploration, explanation, and learning.American Psychological Foundation (Elizabeth Munsterberg Koppitz Fellowship)James S. McDonnell Foundation (Collaborative Interdisciplinary Grant on Causal Reasoning)National Science Foundation (U.S.) (NSF Faculty Early Career Development Award)Templeton Foundation (Award

    The interaction of social and perceivable causal factors in shaping ‘over-imitation’

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    Over-imitation has become a well-documented phenomenon. However there is evidence that both social and visible, physically causal factors can influence the occurrence of over-imitation in children. Here we explore the interplay between these two factors, manipulating both task opacity and social information. Four- to 7-year-old children were given either a causally opaque or transparent box, before which they experienced either (1) a condition where they witnessed a taught, knowledgeable person demonstrate an inefficient method and an untaught model demonstrate a more efficient method; or (2) a baseline condition where they witnessed efficient and inefficient methods performed by two untaught models. Results showed that the level of imitation increased with greater task opacity and when children received social information about knowledgeability consequent on teaching, but only for 6- to 7-year-olds. The findings show that children are selectively attuned to both causal and social factors when learning new cultural knowledge

    Folk Theory of Mind: Conceptual Foundations of Social Cognition

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    The human ability to represent, conceptualize, and reason about mind and behavior is one of the greatest achievements of human evolution and is made possible by a “folk theory of mind” — a sophisticated conceptual framework that relates different mental states to each other and connects them to behavior. This chapter examines the nature and elements of this framework and its central functions for social cognition. As a conceptual framework, the folk theory of mind operates prior to any particular conscious or unconscious cognition and provides the “framing” or interpretation of that cognition. Central to this framing is the concept of intentionality, which distinguishes intentional action (caused by the agent’s intention and decision) from unintentional behavior (caused by internal or external events without the intervention of the agent’s decision). A second important distinction separates publicly observable from publicly unobservable (i.e., mental) events. Together, the two distinctions define the kinds of events in social interaction that people attend to, wonder about, and try to explain. A special focus of this chapter is the powerful tool of behavior explanation, which relies on the folk theory of mind but is also intimately tied to social demands and to the perceiver’s social goals. A full understanding of social cognition must consider the folk theory of mind as the conceptual underpinning of all (conscious and unconscious) perception and thinking about the social world

    The roots of moral autonomy

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    Human cooperation and group living are based on societies in which individuals not only care about their own interests but share common norms and values – such as morality and prosocial behavior. As early as the 18th century, Immanuel Kant postulated autonomy as the key to human morality. Kant explained that a rational agent with a free will would necessarily make moral – not immoral – decisions. However, the fundamental question of how moral behavior acquires normative weight remains unresolved until the present day, especially when moral behavior entails personal costs for the individual. This dissertation builds on Kant’s thesis and aims to investigate important building blocks of moral autonomy at preschool age. Therefore, children’s own prosocial decisions as well as their normative and descriptive expectations about others’ prosocial actions are assessed and linked to fundamental underlying mechanisms such as cultural learning and collective intentionality. Study 1 assessed whether preschoolers enforce agreed-upon prosocial ver-sus selfish sharing norms in a group dictator game. Three- and 5-year-old children and two hand puppets had the opportunity to agree on how to distribute re-sources between themselves and a group of passive recipients. The findings sug-gest that preschoolers understand prosocial, but not selfish, agreements as binding even though prosocial sharing norms are associated with personal costs. Study Set 2 assessed in two experiments whether observed choice increases the children’s own prosocial sharing behavior. In Experiment 1, children observed an adult model who was provided with costly choice (i.e., sharing instead of keeping an item), (b) non-costly choice (i.e., sharing instead of watching an item be thrown away), or (c) no choice (i.e., being instructed to share an item). As a next step, children were given the opportunity to decide how many stickers (out of three) they would like to share with a sad animal puppet. Experiment 2 aimed to investigate possible age effects. The study design was reduced to condition (a) and (c), a second test trial was added. Taken together, the results of Study Set 2 suggest that 5-year-old’s (but not 4-year old’s) prosocial sharing behavior increases when previously having observed someone who intentionally acts prosocially at a personal cost. Study 3 investigated preschoolers’ descriptive expectations about the causal agent of prosocial and selfish actions, based on agents’ prior history of voluntary versus involuntary prosocial behavior. The results show that children at the age of 5.5 years use information about the circumstances and intentions of previous actions to generate descriptive expectations about other’s future prosocial behavior. From 4 years of age, children distinguish between an agent who shares voluntarily and an agent who shares only involuntarily. Taken together, this dissertation shows that preschool aged children infer and enforce prosocial – but not selfish – sharing norms. They engage in prosocial sharing which is affected by observed choice and they form descriptive expectations about others tendency to behave prosocial or selfish on the base of knowledge about the agents prosocial versus selfish intentions

    How young children integrate information sources to infer the meaning of words

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