Pure Reasoning in 12-Month-Old Infants as Probabilistic Inference

By Ernő Téglás, E. Vul, Vittorio Girotto, Michel Gonzalez, Josh Tenenbaum, L. Bonatti. 2011

287 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Statistics and Probability, Probabilistic & Bayesian Methods, Cognitive Science & Psychology

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Citations in the corpus

What can the brain teach us about building artificial intelligence? (2016, background): “, 2013) as well as simpler kinds of physical predictions that have been studied in infants (Téglás et al., 2011).”
Toward Causal Representation Learning (2021, background): “Such a representation allows children to quickly learn new tasks as their knowledge and intuitive understanding of physics can be reused [17], [53], [144], [250].”
Towards Causal Representation Learning (2021, background): “their knowledge and intuitive understanding of physics can be re-used [15, 52, 144, 250].”
Educating the Developing Mind: Towards an Overarching Paradigm (2011, background): “An increasing number of studies tried to improve intelligence by training addressed directly to the various aspects of working memory, attention, and executive control (Buschkuehl and Jaeggi 2010; Jaeggi et al. 2008; Klingberg et al. 2002; Posner and Rothbart 2006; Thorell et al. 2009).”
Infants Are Rational Constructivist Learners (2013, background): “A similar type of integration occurs with physical constraints: If 11-month-old infants were given evidence that green balls could not be moved from a box filled with green, red, and yellow balls and the experimenter drew out a random sample with her eyes closed, they expected the sample to approxim”
Learning physics from dynamical scenes (2014, result): “Battaglia, Hamrick, & Tenenbaum, 2013; Sanborn, Mansinghka, & Griffiths, 2013) and infants (Téglás et al., 2011).”
Building Machines that Learn and Think Like People (2018, background): “, 2013) as well as simpler kinds of physical predictions that have been studied in infants (Téglás et al., 2011).”
On the nature and origin of intuitive theories : learning, physics and psychology (2015, result): “This is consistent with suggestions from several recent studies of intuitive physical reasoning in adults [12, 164, 54, 144] and infants [174].”
The power of representation and interpretation: Doubling statistical reasoning performance with icons and frequentist interpretations of ambiguous numbers (2014, background): “…different types of numerical information qualify as either frequencies or probabilities (also see Téglás, Girotto, Gonzalez, and Bonatti (2007) and Téglás et al. (2011) for similar issues regarding classification of research using experienced event frequencies as reasoning about “probabilities”…”
The Goldilocks Effect: Human Infants Allocate Attention to Visual Sequences That Are Neither Too Simple Nor Too Complex (2012, unknown): “We assume that at each point in the experiment–and in everyday life–infants have used observed data to form probabilistic expectations about what events are likely and unlikely to be observed next [25,26].”
Mind Games: Game Engines as an Architecture for Intuitive Physics. (2017, background): “…of predictions across di ﬀ erent tasks and types of reasoning, including predicting how a scene will unfold over time [6, 74], interacting with a dynamic scene [75], reasoning about underlying physical properties [10, 11, 66], causal judgments [7], and quantitative infant physical reasoning [9].”
Sources of uncertainty in intuitive physics (2012, methodology): “Similar models of physics with perceptual noise have been used to explain relative mass judgments in collisions (Sanborn, Mansinghka, & Griffiths, 2009) and infants' expectations for object movement (Téglás et al., 2011).”
Probing Physics Knowledge Using Tools from Developmental Psychology (2018, result): “This was further reinforced in subsequent work by Téglás et al. (2011).”
To belief or not belief: Children’s theory of mind (2014, background): “Recently, Téglás et al. (2011) showed that 12-month-olds integrate three sources of information when reasoning about object motion.”