{"id":"https://openalex.org/W4380520015","doi":"https://doi.org/10.1017/s0890060423000100","title":"Stone masonry design automation via reinforcement learning","display_name":"Stone masonry design automation via reinforcement learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380520015","doi":"https://doi.org/10.1017/s0890060423000100"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060423000100","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0890060423000100","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/FA43B489B89EDF0A15E8B3F3EE30D592/S0890060423000100a.pdf/div-class-title-stone-masonry-design-automation-via-reinforcement-learning-div.pdf","source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/FA43B489B89EDF0A15E8B3F3EE30D592/S0890060423000100a.pdf/div-class-title-stone-masonry-design-automation-via-reinforcement-learning-div.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005510285","display_name":"SungKu Kang","orcid":"https://orcid.org/0000-0001-8146-4103"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"SungKu Kang","raw_affiliation_strings":["Department of Civil & Environmental Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8146-4103","affiliations":[{"raw_affiliation_string":"Department of Civil & Environmental Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042038501","display_name":"Jennifer Dy","orcid":"https://orcid.org/0000-0002-8430-134X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer G. Dy","raw_affiliation_strings":["Department of Electrical & Computer Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040614037","display_name":"Michael B. Kane","orcid":"https://orcid.org/0000-0002-3716-3116"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael B. Kane","raw_affiliation_strings":["Department of Civil & Environmental Engineering, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil & Environmental Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005510285"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":{"value":3255,"currency":"USD","value_usd":3255},"apc_paid":{"value":3255,"currency":"USD","value_usd":3255},"fwci":0.551,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59736216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"37","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12190","display_name":"Innovations in Concrete and Construction Materials","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12190","display_name":"Innovations in Concrete and Construction Materials","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/masonry","display_name":"Masonry","score":0.5935589075088501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5869194269180298},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5863750576972961},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5667977333068848},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4956773519515991},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4942324459552765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39824461936950684},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3021441102027893},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.23087742924690247}],"concepts":[{"id":"https://openalex.org/C535899295","wikidata":"https://www.wikidata.org/wiki/Q272999","display_name":"Masonry","level":2,"score":0.5935589075088501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5869194269180298},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5863750576972961},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5667977333068848},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4956773519515991},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4942324459552765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39824461936950684},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3021441102027893},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.23087742924690247},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s0890060423000100","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0890060423000100","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/FA43B489B89EDF0A15E8B3F3EE30D592/S0890060423000100a.pdf/div-class-title-stone-masonry-design-automation-via-reinforcement-learning-div.pdf","source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1017/s0890060423000100","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0890060423000100","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/FA43B489B89EDF0A15E8B3F3EE30D592/S0890060423000100a.pdf/div-class-title-stone-masonry-design-automation-via-reinforcement-learning-div.pdf","source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380520015.pdf","grobid_xml":"https://content.openalex.org/works/W4380520015.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1515851193","https://openalex.org/W1606955883","https://openalex.org/W1966849812","https://openalex.org/W1979168015","https://openalex.org/W2024181068","https://openalex.org/W2027137968","https://openalex.org/W2029941805","https://openalex.org/W2043284163","https://openalex.org/W2069140742","https://openalex.org/W2102660061","https://openalex.org/W2141559645","https://openalex.org/W2155968351","https://openalex.org/W2220999736","https://openalex.org/W2293283613","https://openalex.org/W2296073425","https://openalex.org/W2402371436","https://openalex.org/W2402658388","https://openalex.org/W2404413946","https://openalex.org/W2436678748","https://openalex.org/W2527672088","https://openalex.org/W2535657183","https://openalex.org/W2563506672","https://openalex.org/W2605884846","https://openalex.org/W2746553466","https://openalex.org/W2765127817","https://openalex.org/W2769368469","https://openalex.org/W2773987374","https://openalex.org/W2788207323","https://openalex.org/W2886047522","https://openalex.org/W2888896501","https://openalex.org/W2889362692","https://openalex.org/W2890890875","https://openalex.org/W2897007254","https://openalex.org/W2919115771","https://openalex.org/W2943199188","https://openalex.org/W2950055430","https://openalex.org/W2965730392","https://openalex.org/W2966495837","https://openalex.org/W2982316857","https://openalex.org/W2996037775","https://openalex.org/W2999993516","https://openalex.org/W3004063718","https://openalex.org/W3011596939","https://openalex.org/W3030965678","https://openalex.org/W3042032092","https://openalex.org/W3042829240","https://openalex.org/W3089246515","https://openalex.org/W3100751385","https://openalex.org/W3106486741","https://openalex.org/W3121222853","https://openalex.org/W3156503367","https://openalex.org/W3189574803","https://openalex.org/W3189728456","https://openalex.org/W4281567864","https://openalex.org/W4298857966","https://openalex.org/W6697157103","https://openalex.org/W6713100498","https://openalex.org/W6713642513","https://openalex.org/W6713673362","https://openalex.org/W6754578067","https://openalex.org/W6779218918","https://openalex.org/W6780789846","https://openalex.org/W6794908845"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W1988681129","https://openalex.org/W2127970246","https://openalex.org/W2952670629","https://openalex.org/W2096160964","https://openalex.org/W2084856301","https://openalex.org/W1001352512","https://openalex.org/W2188455213","https://openalex.org/W4382618745"],"abstract_inverted_index":{"Abstract":[0],"The":[1,117,211,232],"use":[2,38],"of":[3,39,60,174,194,215],"local":[4],"natural":[5,19,61,239],"and":[6,20,31,135,213,240],"recycled":[7,21,241],"feedstock":[8,22,242],"is":[9,42,69,115,120,168,198,202],"promising":[10],"for":[11,104,177,209,253],"sustainable":[12],"construction.":[13],"However,":[14],"unlike":[15],"versatile":[16],"engineered":[17],"bricks,":[18],"involves":[23],"design":[24,74,86,93,105,113,125,155,226,230,251],"challenges":[25],"due":[26],"to":[27,55,71,83,170,237],"their":[28],"stochastic,":[29],"sequential,":[30],"heterogeneous":[32,108],"nature.":[33],"For":[34],"example,":[35],"the":[36,57,91,130,172,195,216],"practical":[37],"stone":[40,111,133,224],"masonry":[41,112,134,225],"limited,":[43],"as":[44,76],"it":[45,77],"still":[46],"relies":[47],"on":[48],"human":[49,158],"experts":[50],"with":[51,63,144,189],"holistic":[52],"domain":[53],"knowledge":[54],"determine":[56],"sequential":[58],"organization":[59],"stones":[62],"different":[64,190,238],"sizes/shapes.":[65],"Reinforcement":[66],"learning":[67],"(RL)":[68],"expected":[70],"address":[72,171],"such":[73],"challenges,":[75],"allows":[78],"artificial":[79],"intelligence":[80],"(AI)":[81],"agents":[82,152,186],"autonomously":[84],"learn":[85,153],"policy,":[87,165,167],"that":[88,200],"is,":[89],"identifying":[90],"best":[92],"decision":[94],"at":[95],"each":[96],"time":[97],"step.":[98],"As":[99,180],"a":[100,110,123,139,145,161,192],"proof-of-concept":[101],"RL":[102,196],"framework":[103,114,119,197,218,233],"automation":[106,252],"involving":[107],"feedstock,":[109],"presented.":[116],"proposed":[118,199,217],"founded":[121],"upon":[122],"virtual":[124,141],"environment,":[126],"MasonTris,":[127],"inspired":[128],"by":[129,221,243],"analogy":[131],"between":[132],"Tetris.":[136],"MasonTris":[137],"provides":[138],"Tetris-like":[140],"environment":[142],"combined":[143],"finite":[146],"element":[147],"analysis":[148],"(FEA),":[149],"where":[150],"AI":[151],"effective":[154],"policies":[156],"without":[157],"intervention.":[159],"Also,":[160],"new":[162],"data":[163,206],"collection":[164],"almost-greedy":[166],"designed":[169],"sparsity":[173],"feasible":[175],"designs":[176,188],"faster/stable":[178],"learning.":[179],"computation":[181],"bottleneck":[182],"occurs":[183],"when":[184],"parallel":[185],"evaluate":[187],"complexities,":[191],"modification":[193],"FEA":[201],"held":[203],"until":[204],"training":[205],"are":[207,219],"retrieved":[208],"training.":[210],"feasibility":[212],"adaptability":[214],"demonstrated":[220],"continuously":[222],"improving":[223],"policy":[227],"in":[228,250],"simplified":[229],"problems.":[231],"can":[234],"be":[235],"generalizable":[236],"incorporating":[244],"more":[245],"realistic":[246],"assumptions,":[247],"opening":[248],"opportunities":[249],"sustainability.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
