Browsing Center for Brains, Minds & Machines by Author "Tenenbaum, Joshua B."
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Building machines that learn and think like people
Lake, Brenden M.; Ullman, Tomer D.; Tenenbaum, Joshua B.; Gershman, Samuel J. (Center for Brains, Minds and Machines (CBMM), arXiv, 2016-04-01)Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object ... -
Concepts in a Probabilistic Language of Thought
Goodman, Noah D.; Tenenbaum, Joshua B.; Gerstenberg, Tobias (Center for Brains, Minds and Machines (CBMM), 2014-06-14)Knowledge organizes our understanding of the world, determining what we expect given what we have already seen. Our predictive representations have two key properties: they are productive, and they are graded. Productive ... -
Incorporating Rich Social Interactions Into MDPs
Tejwani, Ravi; Kuo, Yen-Ling; Shu, Tianmin; Stankovits, Bennett; Gutfreund, Dan; e.a. (Center for Brains, Minds and Machines (CBMM), International Conference on Robotics and Automation (ICRA), 2022-02-07)Much of what we do as humans is engage socially with other agents, a skill that robots must also eventually possess. We demonstrate that a rich theory of social interactions originating from microso- ciology and economics ... -
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
Netanyahu, Aviv; Shu, Tianmin; Katz, Boris; Barbu, Andrei; Tenenbaum, Joshua B. (Center for Brains, Minds and Machines (CBMM), The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021, 2021-03-19)The ability to perceive and reason about social interactions in the context of physical environments is core to human social intelligence and human-machine cooperation. However, no prior dataset or benchmark has ... -
Probing the compositionality of intuitive functions
Schulz, Eric; Tenenbaum, Joshua B.; Duvenaud, David; Speekenbrink, Maarten; Gershman, Samuel J. (Center for Brains, Minds and Machines (CBMM), 2016-05-26)How do people learn about complex functional structure? Taking inspiration from other areas of cognitive science, we propose that this is accomplished by harnessing compositionality: complex structure is decomposed into ...