How do intelligent agents make decisions in novel environments? The generalization of knowledge to novel circumstances relies on the ability to form structural representations invariant to specific features of the input domain. This means basis sets thought previously to be evolutionarily hard-coded to represent magnitude or cardinality and the Euclidean dimensions of the external world (e.g. space, time, number) may instead reflect a natural set of low-dimensional basis functions that supports

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Social Regulation of Human Gene Expression

The Sense of Style: Writing in the 21st Century

Steven Strogatz is the Jacob Gould Schurman Professor of Applied Mathematics at Cornell University. After graduating summa cum laude in mathematics from Princeton in 1980, Strogatz studied at Trinity College, Cambridge, where he was a Marshall Scholar. He did his doctoral work in applied mathematics at Harvard, followed by a National Science Foundation postdoctoral fellowship at Harvard and Boston University. From 1989 to 1994, Strogatz taught in the Department of Mathematics at MIT. He joined the Cornell faculty in 1994.

All animal researchers who have not attended this seminar previously are required to attend. Since the seminar covers recent updates in the regulations, it is also recommended for other researchers.