Jeffrey K. Bye

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 9

Top Topics

Standard Deviation

Categorical Variables

Backward Chaining

Causal Knowledge

Top Venues

Top. Cogn. Sci.

J. Numer. Cogn.

Publications

Jeffrey K. Bye, Rina Harsch, Sashank Varma
Neighborhood effects for composite (i.e., non-prime) numbers. CogSci (2022)
Jeffrey K. Bye, Patricia W. Cheng
Causal invariance guides inference of empirical integration rules. CogSci (2022)
Jeffrey K. Bye, Rina Harsch, Sashank Varma
Decoding fact fluency and strategy flexibility in solving one-step algebra problems: An individual differences analysis. J. Numer. Cogn. 8 (2) (2022)
V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma
Categorical Perception of p-Values. Top. Cogn. Sci. 14 (2) (2022)
Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jimin Park, Jeffrey K. Bye, Sashank Varma
Use of clustering in human solutions of the traveling salesperson problem. CogSci (2022)
Vijay Marupudi, Rina Harsch, V. N. Vimal Rao, Jeffrey K. Bye, Jimin Park, Sashank Varma
The role of clustering in the efficient solution of small Traveling Salesperson Problems. CogSci (2021)
Jeffrey K. Bye, Vijay Marupudi, Jimin Park, Sashank Varma
Calibration information reduces bias during estimation of factorials: A (partial) replication and extension of Tversky and Kahneman (1973). CogSci (2021)
Jeffrey K. Bye, Pei-Jung Chuang, Patricia W. Cheng
When and Why Do Reasoners Generalize Causal Integration Functions? Causal Invariance as Generalizable Causal Knowledge. CogSci (2021)
V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma
Categorical perception of p-values. CogSci (2021)