{"id":"https://openalex.org/W4387355456","doi":"https://doi.org/10.48550/arxiv.2310.01471","title":"A Good Snowman is Hard to Plan","display_name":"A Good Snowman is Hard to Plan","publication_year":2023,"publication_date":"2023-10-02","ids":{"openalex":"https://openalex.org/W4387355456","doi":"https://doi.org/10.48550/arxiv.2310.01471"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2310.01471","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.01471","pdf_url":"https://arxiv.org/pdf/2310.01471","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2310.01471","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038978960","display_name":"Miquel Bofill","orcid":"https://orcid.org/0000-0003-0308-9867"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bofill, Miquel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069149929","display_name":"Cristina Borralleras","orcid":"https://orcid.org/0000-0002-4667-0953"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borralleras, Cristina","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053293125","display_name":"Joan Espasa","orcid":"https://orcid.org/0000-0002-9021-3047"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Espasa, Joan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068514701","display_name":"Gerard Mart\u00edn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mart\u00edn, Gerard","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031440160","display_name":"Gustavo Patow","orcid":"https://orcid.org/0000-0002-1977-9101"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patow, Gustavo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021854785","display_name":"Mateu Villaret","orcid":"https://orcid.org/0000-0002-8066-3458"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Villaret, Mateu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038978960"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9904999732971191,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9904999732971191,"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.965499997138977,"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/reachability","display_name":"Reachability","score":0.7600963115692139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.746437668800354},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.48880502581596375},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4320268929004669},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41544926166534424},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4017760753631592},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17112216353416443}],"concepts":[{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.7600963115692139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746437668800354},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.48880502581596375},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4320268929004669},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41544926166534424},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4017760753631592},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17112216353416443},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2310.01471","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.01471","pdf_url":"https://arxiv.org/pdf/2310.01471","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2310.01471","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2310.01471","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2310.01471","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.01471","pdf_url":"https://arxiv.org/pdf/2310.01471","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1622782223","display_name":null,"funder_award_id":"MCIN/AEI/10","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3429648993","display_name":null,"funder_award_id":"PID202","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4126322094","display_name":null,"funder_award_id":"01100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G451917667","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G5967599077","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G661330594","display_name":null,"funder_award_id":"00110","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G6685425346","display_name":null,"funder_award_id":"0011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7084143925","display_name":null,"funder_award_id":"AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7266728691","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8260616629","display_name":null,"funder_award_id":"011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8570012161","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387355456.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2127267268","https://openalex.org/W2136512912","https://openalex.org/W2067910792","https://openalex.org/W2156446763","https://openalex.org/W2150194458","https://openalex.org/W2143461633","https://openalex.org/W4321471459","https://openalex.org/W2772294324","https://openalex.org/W4253760428","https://openalex.org/W2047831585"],"abstract_inverted_index":{"In":[0],"this":[1,110],"work":[2],"we":[3,94,108],"face":[4],"a":[5,32,50,53,84,97,135,158],"challenging":[6,172],"puzzle":[7],"video":[8],"game:":[9],"A":[10],"Good":[11],"Snowman":[12],"is":[13,22,45,75,111],"Hard":[14],"to":[15,23,47,69,100,114,133,176],"Build.":[16],"The":[17],"objective":[18],"of":[19,38,73,148,160],"the":[20,36,42,58,60,71,78,115,152],"game":[21,79],"build":[24],"snowmen":[25],"by":[26],"moving":[27],"and":[28,87,165,169],"stacking":[29],"snowballs":[30],"on":[31],"discrete":[33],"grid.":[34],"For":[35],"sake":[37],"player":[39,51],"engagement":[40],"with":[41,151,157,170],"game,":[43],"it":[44],"interesting":[46],"avoid":[48],"that":[49,66,96,117],"finds":[52],"much":[54],"easier":[55],"solution":[56],"than":[57],"one":[59],"designer":[61],"expected.":[62],"Therefore,":[63],"having":[64],"tools":[65],"are":[67],"able":[68],"certify":[70],"optimality":[72],"solutions":[74],"crucial.":[76],"Although":[77],"can":[80,88,120],"be":[81,89,121,177],"stated":[82],"as":[83],"planning":[85],"problem":[86],"naturally":[90],"modelled":[91,123],"in":[92,124,139,144],"PDDL,":[93],"show":[95],"direct":[98],"translation":[99],"SAT":[101],"clearly":[102],"outperforms":[103],"off-the-shelf":[104],"state-of-the-art":[105],"planners.":[106,154],"As":[107],"show,":[109],"mainly":[112],"due":[113],"fact":[116],"reachability":[118,136],"properties":[119],"easily":[122],"SAT,":[125],"allowing":[126],"for":[127],"shorter":[128],"plans,":[129],"whereas":[130],"using":[131],"axioms":[132],"express":[134],"derived":[137],"predicate":[138],"PDDL":[140],"does":[141],"not":[142],"result":[143],"any":[145],"significant":[146],"reduction":[147],"solving":[149,167],"time":[150],"considered":[153],"We":[155],"deal":[156],"set":[159],"51":[161],"levels,":[162],"both":[163],"original":[164],"crafted,":[166],"43":[168],"8":[171],"instances":[173],"still":[174],"remaining":[175],"solved.":[178]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}