Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2123713131', 'doi': 'https://doi.org/10.1126/science.1192788', 'title': 'How to Grow a Mind: Statistics, Structure, and Abstraction', 'display_name': 'How to Grow a Mind: Statistics, Structure, and Abstraction', 'publication_year': 2011, 'publication_date': '2011-03-11', 'ids': {'openalex': 'https://openalex.org/W2123713131', 'doi': 'https://doi.org/10.1126/science.1192788', 'mag': '2123713131', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/21393536'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1126/science.1192788', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S3880285', 'display_name': 'Science', 'issn_l': '0036-8075', 'issn': ['0036-8075', '1095-9203'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310315823', 'host_organization_name': 'American Association for the Advancement of Science', 'host_organization_lineage': ['https://openalex.org/P4310315823'], 'host_organization_lineage_names': ['American Association for the Advancement of Science'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'review', 'type_crossref': 'journal-article', 'indexed_in': ['crossref', 'pubmed'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5071093940', 'display_name': 'Joshua B. Tenenbaum', 'orcid': 'https://orcid.org/0000-0002-1925-2035'}, 'institutions': [{'id': 'https://openalex.org/I63966007', 'display_name': 'Massachusetts Institute of Technology', 'ror': 'https://ror.org/042nb2s44', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I63966007']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Joshua B. Tenenbaum', 'raw_affiliation_strings': ['Department of Brain and Cognitive Sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.'], 'affiliations': [{'raw_affiliation_string': 'Department of Brain and Cognitive Sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.', 'institution_ids': ['https://openalex.org/I63966007']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5080087902', 'display_name': 'Charles Kemp', 'orcid': 'https://orcid.org/0000-0001-9683-8737'}, 'institutions': [{'id': 'https://openalex.org/I74973139', 'display_name': 'Carnegie Mellon University', 'ror': 'https://ror.org/05x2bcf33', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I74973139']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Charles Kemp', 'raw_affiliation_strings': ['Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.'], 'affiliations': [{'raw_affiliation_string': 'Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.', 'institution_ids': ['https://openalex.org/I74973139']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5077079119', 'display_name': 'Thomas L. Griffiths', 'orcid': 'https://orcid.org/0000-0002-5138-7255'}, 'institutions': [{'id': 'https://openalex.org/I95457486', 'display_name': 'University of California, Berkeley', 'ror': 'https://ror.org/01an7q238', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I95457486']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Thomas L. Griffiths', 'raw_affiliation_strings': ['Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA.'], 'affiliations': [{'raw_affiliation_string': 'Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA.', 'institution_ids': ['https://openalex.org/I95457486']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5001961716', 'display_name': 'Noah D. Goodman', 'orcid': 'https://orcid.org/0000-0002-9176-8802'}, 'institutions': [{'id': 'https://openalex.org/I97018004', 'display_name': 'Stanford University', 'ror': 'https://ror.org/00f54p054', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I97018004']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Noah D. Goodman', 'raw_affiliation_strings': ['Department of Psychology, Stanford University, Stanford, CA, 94305, USA'], 'affiliations': [{'raw_affiliation_string': 'Department of Psychology, Stanford University, Stanford, CA, 94305, USA', 'institution_ids': ['https://openalex.org/I97018004']}]}], 'countries_distinct_count': 1, 'institutions_distinct_count': 4, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 28.21, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 1639, 'citation_normalized_percentile': {'value': 0.990698, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 99, 'max': 100}, 'biblio': {'volume': '331', 'issue': '6022', 'first_page': '1279', 'last_page': '1285'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11303', 'display_name': 'Learning and Inference in Bayesian Networks', 'score': 0.9936, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T11303', 'display_name': 'Learning and Inference in Bayesian Networks', 'score': 0.9936, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10656', 'display_name': 'Development of Theory of Mind in Children', 'score': 0.9897, 'subfield': {'id': 'https://openalex.org/subfields/3204', 'display_name': 'Developmental and Educational Psychology'}, 'field': {'id': 'https://openalex.org/fields/32', 'display_name': 'Psychology'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, {'id': 'https://openalex.org/T10028', 'display_name': 'Natural Language Processing', 'score': 0.9812, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/abstraction', 'display_name': 'Abstraction', 'score': 0.7213571}, {'id': 'https://openalex.org/keywords/structure-learning', 'display_name': 'Structure Learning', 'score': 0.57606}, {'id': 'https://openalex.org/keywords/probabilistic-learning', 'display_name': 'Probabilistic Learning', 'score': 0.551534}, {'id': 'https://openalex.org/keywords/topic-modeling', 'display_name': 'Topic Modeling', 'score': 0.516342}, {'id': 'https://openalex.org/keywords/social-cognition', 'display_name': 'Social Cognition', 'score': 0.505075}], 'concepts': [{'id': 'https://openalex.org/C124304363', 'wikidata': 'https://www.wikidata.org/wiki/Q673661', 'display_name': 'Abstraction', 'level': 2, 'score': 0.7213571}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.7050637}, {'id': 'https://openalex.org/C188147891', 'wikidata': 'https://www.wikidata.org/wiki/Q147638', 'display_name': 'Cognitive science', 'level': 1, 'score': 0.62761045}, {'id': 'https://openalex.org/C2776214188', 'wikidata': 'https://www.wikidata.org/wiki/Q408386', 'display_name': 'Inference', 'level': 2, 'score': 0.621726}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.5637638}, {'id': 'https://openalex.org/C49937458', 'wikidata': 'https://www.wikidata.org/wiki/Q2599292', 'display_name': 'Probabilistic logic', 'level': 2, 'score': 0.5174147}, {'id': 'https://openalex.org/C169900460', 'wikidata': 'https://www.wikidata.org/wiki/Q2200417', 'display_name': 'Cognition', 'level': 2, 'score': 0.45858997}, {'id': 'https://openalex.org/C158600405', 'wikidata': 'https://www.wikidata.org/wiki/Q5054566', 'display_name': 'Causal inference', 'level': 2, 'score': 0.42106193}, {'id': 'https://openalex.org/C2522767166', 'wikidata': 'https://www.wikidata.org/wiki/Q2374463', 'display_name': 'Data science', 'level': 1, 'score': 0.41497827}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.34729216}, {'id': 'https://openalex.org/C111472728', 'wikidata': 'https://www.wikidata.org/wiki/Q9471', 'display_name': 'Epistemology', 'level': 1, 'score': 0.279388}, {'id': 'https://openalex.org/C15744967', 'wikidata': 'https://www.wikidata.org/wiki/Q9418', 'display_name': 'Psychology', 'level': 0, 'score': 0.22789127}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.09491935}, {'id': 'https://openalex.org/C138885662', 'wikidata': 'https://www.wikidata.org/wiki/Q5891', 'display_name': 'Philosophy', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C169760540', 'wikidata': 'https://www.wikidata.org/wiki/Q207011', 'display_name': 'Neuroscience', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.0}], 'mesh': [{'descriptor_ui': 'D003071', 'descriptor_name': 'Cognition', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D019359', 'descriptor_name': 'Knowledge', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D007858', 'descriptor_name': 'Learning', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D056345', 'descriptor_name': 'Theory of Mind', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D013850', 'descriptor_name': 'Thinking', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D001185', 'descriptor_name': 'Artificial Intelligence', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D001499', 'descriptor_name': 'Bayes Theorem', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D003210', 'descriptor_name': 'Concept Formation', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D006801', 'descriptor_name': 'Humans', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D015233', 'descriptor_name': 'Models, Statistical', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}], 'locations_count': 2, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1126/science.1192788', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S3880285', 'display_name': 'Science', 'issn_l': '0036-8075', 'issn': ['0036-8075', '1095-9203'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310315823', 'host_organization_name': 'American Association for the Advancement of Science', 'host_organization_lineage': ['https://openalex.org/P4310315823'], 'host_organization_lineage_names': ['American Association for the Advancement of Science'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': False, 'landing_page_url': 'https://pubmed.ncbi.nlm.nih.gov/21393536', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306525036', 'display_name': 'PubMed', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I1299303238', 'host_organization_name': 'National Institutes of Health', 'host_organization_lineage': ['https://openalex.org/I1299303238'], 'host_organization_lineage_names': ['National Institutes of Health'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'display_name': 'Quality education', 'id': 'https://metadata.un.org/sdg/4', 'score': 0.77}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 64, 'referenced_works': ['https://openalex.org/W1488309867', 'https://openalex.org/W1509562192', 'https://openalex.org/W1525726177', 'https://openalex.org/W1536009794', 'https://openalex.org/W1553508775', 'https://openalex.org/W158727920', 'https://openalex.org/W1594369375', 'https://openalex.org/W1597333134', 'https://openalex.org/W1732736211', 'https://openalex.org/W1823077382', 'https://openalex.org/W1981578159', 'https://openalex.org/W1984251878', 'https://openalex.org/W1994114516', 'https://openalex.org/W1997236510', 'https://openalex.org/W2000020549', 'https://openalex.org/W2016429292', 'https://openalex.org/W2017470614', 'https://openalex.org/W2027796863', 'https://openalex.org/W2043187947', 'https://openalex.org/W2045656233', 'https://openalex.org/W2045693110', 'https://openalex.org/W2048269309', 'https://openalex.org/W2053555487', 'https://openalex.org/W2075359029', 'https://openalex.org/W2086220442', 'https://openalex.org/W2098036909', 'https://openalex.org/W2102630578', 'https://openalex.org/W2105361975', 'https://openalex.org/W2117126688', 'https://openalex.org/W2118354656', 'https://openalex.org/W2119017831', 'https://openalex.org/W2119991646', 'https://openalex.org/W2126119062', 'https://openalex.org/W2126377586', 'https://openalex.org/W2128152674', 'https://openalex.org/W2133735566', 'https://openalex.org/W2134560943', 'https://openalex.org/W2135547275', 'https://openalex.org/W2136445846', 'https://openalex.org/W2146722303', 'https://openalex.org/W2147231083', 'https://openalex.org/W2147336195', 'https://openalex.org/W2150286230', 'https://openalex.org/W2154164802', 'https://openalex.org/W2162693531', 'https://openalex.org/W2166603063', 'https://openalex.org/W2167956961', 'https://openalex.org/W2169281351', 'https://openalex.org/W2170085538', 'https://openalex.org/W2491030098', 'https://openalex.org/W2798390898', 'https://openalex.org/W2911823491', 'https://openalex.org/W3039210294', 'https://openalex.org/W3140968660', 'https://openalex.org/W3207342693', 'https://openalex.org/W4211148385', 'https://openalex.org/W4247690662', 'https://openalex.org/W4249882522', 'https://openalex.org/W4252743921', 'https://openalex.org/W4292157289', 'https://openalex.org/W4299551239', 'https://openalex.org/W4300402905', 'https://openalex.org/W4302454383', 'https://openalex.org/W618190765'], 'related_works': ['https://openalex.org/W4313163053', 'https://openalex.org/W4300973204', 'https://openalex.org/W4284884309', 'https://openalex.org/W4243842598', 'https://openalex.org/W3045811229', 'https://openalex.org/W2908749798', 'https://openalex.org/W2105980483', 'https://openalex.org/W2055243143', 'https://openalex.org/W2045155990', 'https://openalex.org/W1483408780'], 'abstract_inverted_index': {'In': [0], 'coming': [1], 'to': [2, 19, 36], 'understand': [3], 'the': [4, 23, 68, 72], 'world-in': [5], 'learning': [6, 39, 50, 84], 'concepts,': [7], 'acquiring': [8], 'language,': [9], 'and': [10, 40, 74, 85, 99], 'grasping': [11], 'causal': [12], 'relations-our': [13], 'minds': [14], 'make': [15], 'inferences': [16], 'that': [17, 54, 104], 'appear': [18], 'go': [20], 'far': [21], 'beyond': [22], 'data': [24], 'available.': [25], 'How': [26, 79], 'do': [27, 29], 'we': [28], 'it?': [30], 'This': [31], 'review': [32], 'describes': [33], 'recent': [34], 'approaches': [35], 'reverse-engineering': [37], 'human': [38, 77], 'cognitive': [41], 'development': [42], 'and,': [43], 'in': [44], 'parallel,': [45], 'engineering': [46], 'more': [47], 'humanlike': [48], 'machine': [49], 'systems.': [51], 'Computational': [52], 'models': [53], 'perform': [55], 'probabilistic': [56], 'inference': [57], 'over': [58], 'hierarchies': [59], 'of': [60, 67, 76], 'flexibly': [61], 'structured': [62], 'representations': [63], 'can': [64], 'address': [65], 'some': [66], 'deepest': [69], 'questions': [70], 'about': [71], 'nature': [73], 'origins': [75], 'thought:': [78], 'does': [80, 92], 'abstract': [81, 105], 'knowledge': [82, 94, 106], 'guide': [83], 'reasoning': [86], 'from': [87], 'sparse': [88], 'data?': [89], 'What': [90], 'forms': [91], 'our': [93], 'take,': [95], 'across': [96], 'different': [97], 'domains': [98], 'tasks?': [100], 'And': [101], 'how': [102], 'is': [103], 'itself': [107], 'acquired?': [108]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2123713131', 'counts_by_year': [{'year': 2024, 'cited_by_count': 106}, {'year': 2023, 'cited_by_count': 152}, {'year': 2022, 'cited_by_count': 184}, {'year': 2021, 'cited_by_count': 140}, {'year': 2020, 'cited_by_count': 179}, {'year': 2019, 'cited_by_count': 109}, {'year': 2018, 'cited_by_count': 123}, {'year': 2017, 'cited_by_count': 129}, {'year': 2016, 'cited_by_count': 124}, {'year': 2015, 'cited_by_count': 126}, {'year': 2014, 'cited_by_count': 88}, {'year': 2013, 'cited_by_count': 86}, {'year': 2012, 'cited_by_count': 60}], 'updated_date': '2024-09-13T05:54:37.476166', 'created_date': '2016-06-24'}