Call for abstracts NIPS 2015 workshop on Bounded Optimality and Rational Metareasoning

NIPS 2015 logo
October 5, 2015

Prof. Sam Gershman (CBMM, Harvard) and Prof Noah Goodman (CBMM, Stanford) are helping organize the Bounded Optimality and Rational Metareasoning NIPS 2015 workshop:

We are pleased to announce a NIPS workshop on Bounded Optimality and Rational Metareasoning, which will take place on December 11, 2015, in Montreal, Canada.

This workshop brings together computer scientists working on bounded optimality and metareasoning with psychologists and neuroscientists reverse-engineering the computational principles that make the human brain incredibly resource-efficient. The goal of this workshop is to synthesize these different perspectives on bounded optimality, to promote interdisciplinary interactions and cross-fertilization, and to identify directions for future research.

We invite abstract submissions, due October 28:

Tentative schedule:

Sam Gershman, Harvard University
Falk Lieder, UC Berkeley
Tom Griffiths, UC Berkeley
Noah Goodman, Stanford University

Call for Abstracts

We invite theoretical, technical, as well as empirical contributions addressing questions about bounded rationality and metareasoning in minds and machines. We welcome abstracts from computer science (especially artificial intelligence and machine learning), the cognitive sciences (especially psychology, neuroscience, linguistics, and philosophy) as well as economics. Abstracts should be at most 4 pages long in the NIPS format. Appendices are allowed, but the organizers reserve the right to evaluate the submissions based on the first 4 pages only. Submissions should NOT be anonymous. Selected abstracts and open problems will be presented as posters or talks during the workshop. Contributions should be emailed to We will award up to four complimentary workshop registrations to attendees who cannot get (fully) reimbursed by their host institution. If this applies to you, please indicate it in your submission e-mail.

Submission Deadline: October 28.
Notification of Acceptance: November 5.