dc.contributor.author | Ullman, Tomer David | |
dc.contributor.author | Tenenbaum, Joshua B. | |
dc.contributor.author | Baker, Christopher Lawrence | |
dc.contributor.author | Macindoe, Owen | |
dc.contributor.author | Evans, Owain Rhys | |
dc.contributor.author | Goodman, Noah D. | |
dc.date.accessioned | 2011-02-25T20:57:28Z | |
dc.date.available | 2011-02-25T20:57:28Z | |
dc.date.issued | 2009-12 | |
dc.identifier.isbn | 9781615679119 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/61347 | |
dc.description.abstract | Everyday social interactions are heavily influenced by our snap judgments about
others’ goals. Even young infants can infer the goals of intentional agents from
observing how they interact with objects and other agents in their environment:
e.g., that one agent is ‘helping’ or ‘hindering’ another’s attempt to get up a hill
or open a box. We propose a model for how people can infer these social goals
from actions, based on inverse planning in multiagent Markov decision problems
(MDPs). The model infers the goal most likely to be driving an agent’s behavior
by assuming the agent acts approximately rationally given environmental constraints
and its model of other agents present. We also present behavioral evidence
in support of this model over a simpler, perceptual cue-based alternative. | en_US |
dc.description.sponsorship | United States. Army Research Office (ARO MURI grant W911NF-08-1-0242) | en_US |
dc.description.sponsorship | United States. Air Force Office of Scientific Research (MURI grant FA9550-07-1-0075) | en_US |
dc.description.sponsorship | National Science Foundation (U.S.) (Graduate Research Fellowship) | en_US |
dc.description.sponsorship | James S. McDonnell Foundation (Collaborative Interdisciplinary Grant on Causal Reasoning) | en_US |
dc.language.iso | en_US | |
dc.publisher | Neural Information Processing Systems Foundation | en_US |
dc.relation.isversionof | http://books.nips.cc/papers/files/nips22/NIPS2009_1192.pdf | |
dc.rights | Attribution-Noncommercial-Share Alike 3.0 Unported | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | en_US |
dc.source | MIT web domain | en_US |
dc.title | Help or hinder: Bayesian models of social goal inference | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Ullman, Tomer D., et al. "Help or Hinder: Bayesian Models of Social Goal Inference." Advances in Neural Information Processing Systems 22, Annual Conference on Neural Information Processing Systems, NIPS 2009. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
dc.contributor.department | Massachusetts Institute of Technology. School of Humanities, Arts, and Social Sciences | en_US |
dc.contributor.approver | Tenenbaum, Joshua B. | |
dc.contributor.mitauthor | Ullman, Tomer David | |
dc.contributor.mitauthor | Tenenbaum, Joshua B. | |
dc.contributor.mitauthor | Baker, Christopher Lawrence | |
dc.contributor.mitauthor | Macindoe, Owen | |
dc.contributor.mitauthor | Evans, Owain Rhys | |
dc.contributor.mitauthor | Goodman, Noah D. | |
dc.relation.journal | Advances in Neural Information Processing Systems 22 | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
dspace.orderedauthors | Ullman, Tomer D.; Baker, Chris L.; Macindoe, Owen; Evans, Owain; Goodman, Noah D.; Tenenbaum, Joshua B. | |
dc.identifier.orcid | https://orcid.org/0000-0002-1925-2035 | |
dc.identifier.orcid | https://orcid.org/0000-0002-9773-7871 | |
dc.identifier.orcid | https://orcid.org/0000-0001-7870-4487 | |
dc.identifier.orcid | https://orcid.org/0000-0003-1722-2382 | |
mit.license | OPEN_ACCESS_POLICY | en_US |
mit.metadata.status | Complete | |