scholarly journals Do the more flexible individuals rely more on causal cognition? Observation versus intervention in causal inference in great-tailed grackles

2021 ◽  
Vol 1 ◽  
pp. 1-None
Author(s):  
Aaron Blaisdell ◽  
Benjamin Seitz ◽  
Carolyn Rowney ◽  
Melissa Folsom ◽  
Maggie MacPherson ◽  
...  
Keyword(s):  
Causal Inference ◽  
Causal Cognition

scholarly journals Do the more flexible individuals rely more on causal cognition? Observation versus intervention in causal inference in great-tailed grackles

2020 ◽  
Author(s):  
Aaron Blaisdell ◽  
Benjamin Seitz ◽  
Carolyn Rowney ◽  
Melissa Folsom ◽  
Maggie MacPherson ◽  
...  
Keyword(s):  
Causal Inference ◽  
Behavioral Flexibility ◽  
Color Discrimination ◽  
Geographic Range ◽  
Multiple Test ◽  
Change Behavior ◽  
Key Factor ◽  
Puzzle Box ◽  
Flexibility Measures ◽  
Causal Cognition

Behavioral flexibility, the ability to change behavior when circumstances change based on learning from previous experience, is thought to play an important role in a species’ ability to successfully adapt to new environments and expand its geographic range. However, it is possible that causal cognition, the ability to understand relationships beyond their statistical covariations, could play a significant role in rapid range expansions by allowing one to learn faster by making better predictions about outcomes and by exerting more control over events. We aim to determine whether great-tailed grackles (Quiscalus mexicanus), a species that is rapidly expanding its geographic range, use causal inference and whether this ability relates to their behavioral flexibility (flexibility measured in these individuals by Logan et al. 2019: reversal learning of a color discrimination and solution switching on a puzzle box). We found that grackles showed no evidence of making causal inferences when given the opportunity to intervene on observed events using a touchscreen apparatus, and that performance on the causal cognition task did not correlate with behavioral flexibility measures. This could indicate that causal cognition is not implicated as a key factor involved in a rapid geographic range expansion, though we suggest further exploration of this hypothesis using larger sample sizes and multiple test paradigms before considering this a robust conclusion.

Beyond metaphors and semantics: A framework for causal inference in neuroscience

2019 ◽  
Vol 42 ◽  
Author(s):  
Roberto A. Gulli
Keyword(s):  
Causal Inference ◽  
Causal Power

Abstract The long-enduring coding metaphor is deemed problematic because it imbues correlational evidence with causal power. In neuroscience, most research is correlational or conditionally correlational; this research, in aggregate, informs causal inference. Rather than prescribing semantics used in correlational studies, it would be useful for neuroscientists to focus on a constructive syntax to guide principled causal inference.

Causal Inference and Mediation: Cross-sectional Biases of Longitudinal Processes

2006 ◽  
Author(s):  
Jonathan N. Frecceri ◽  
Scott E. Maxwell
Keyword(s):  
Causal Inference ◽  
Cross Sectional

A Causal Inference Explanation for Multisensory Speech Perception

2013 ◽  
Author(s):  
John F. Magnotti ◽  
Wei Ji Ma ◽  
Michael S. Beauchamp
Keyword(s):  
Speech Perception ◽  
Causal Inference

Causal Inference in Industrial Alarm Data by Timely Clustered Alarms and Transfer Entropy

2020 ◽  
Author(s):  
Mina Fahimipirehgalin ◽  
Iris Weiss ◽  
Birgit Vogel-Heuser
Keyword(s):  
Causal Inference ◽  
Transfer Entropy

Causal Inference and Assessing Learning Outcomes Across Multiple Methods: A Primer for International Evaluators in Education

2018 ◽  
Vol 10 (1) ◽  
pp. 219-234
Author(s):  
John H. Hitchcock ◽  
◽  
Anthony J. Onwuegbuzie ◽  
Shannon David ◽  
Anne-Maree Ruddy ◽  
...  
Keyword(s):  
Causal Inference ◽  
Learning Outcomes ◽  
Multiple Methods

Real-Time Causal Inference

2017 ◽  
Author(s):  
Kweku A. Opoku-Agyemang
Keyword(s):  
Causal Inference ◽  
Real Time
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