Causal Reasoning in Rats

By A. Blaisdell, K. Sawa, Kenneth J. Leising, Michael R. Waldmann. 2006

280 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Developmental and Educational Psychology, Social Psychology

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Citations in the corpus

Causal Reasoning from Meta-reinforcement Learning (2019, background): “Causal reasoning may be an essential component of natural ∗ Corresponding author: ishitadasgupta@g.harvard.edu intelligence and is present in human babies, rats, and even birds (Leslie, 1982; Gopnik et al., 2001; 2004; Blaisdell et al., 2006; Lagnado et al., 2013).”
Causal reasoning in a prediction task with hidden causes (2015, background): “Indeed, the processing of causal information appears to be deeply embedded in animal cognition (Sloman, 2005; Blaisdell et al., 2006); and studies in child development have shown that we learn to form and rely on causal knowledge early on in our lives (Gopnik et al., 2004; Meltzoff, 2007).”
Tool-related Cognition in New Caledonian Crows (2006, background): “This has led to a technical debate about the mathematical properties of associative learning and what behaviours it can and cannot explain (e.g., Dickinson, 200�) and whether other algorithms such as causal Bayes nets provide a better explanation (e.g., Blaisdell, Sawa, Leising, & Waldmann, 2006 ).”
Causal Learning (2012, methodology): “Intervention Versus Observation Following analogous work on humans (Waldmann & Hagmayer, 2005), Blaisdell et al. (2006) reported a result that challenges associative models: Rats are capable of distinguishing between observations and interventions.”
Copying and Evolution of Neuronal Topology (2008, background): “Considerable attention has been paid recently to the capacity of animals such as New Caledonian crows [90], rats [91], non-human apes [ 91 ], children [92] and human adults [92] to undertake causal reasoning tasks, i.e.”
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling (2009, background): “Studies of human psychophysics and animal behavior suggest that the brain is capable of solving these problems in a way that is consistent with optimal Bayesian statistical inference [1, 2, 3, 4].”
Darwin's mistake: Explaining the discontinuity between human and nonhuman minds (2008, unknown): “Nonhuman animals also appear to be implicitly sensitive to the differences between certain basic causal structures (see Blaisdell et al. 2006).”
Causal Induction from Visual Observations for Goal Directed Tasks (2019, background): “The capacity to reason about cause and effect has been observed in humans and other intelligent animals as a means of survival (Blaisdell et al., 2006; Taylor et al., 2008).”
Causal learning in rats and humans: A minimal rational model (2008, methodology): “We will now revisit the results of Blaisdell et al. (2006) discussing them in greater detail in the context of the three models.”