{"id":"https://openalex.org/W4415904754","doi":"https://doi.org/10.24963/kr.2025/78","title":"Emerson-Lei and Manna-Pnueli Games for LTLf+ and PPLTL+ Synthesis","display_name":"Emerson-Lei and Manna-Pnueli Games for LTLf+ and PPLTL+ Synthesis","publication_year":2025,"publication_date":"2025-11-01","ids":{"openalex":"https://openalex.org/W4415904754","doi":"https://doi.org/10.24963/kr.2025/78"},"language":null,"primary_location":{"id":"doi:10.24963/kr.2025/78","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2025/78","pdf_url":"https://proceedings.kr.org/2025/78/kr2025-0078-hausmann-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the TwentySecond International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://proceedings.kr.org/2025/78/kr2025-0078-hausmann-et-al.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068252968","display_name":"Daniel Hausmann","orcid":"https://orcid.org/0000-0002-0935-8602"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Daniel Hausmann","raw_affiliation_strings":["University of Liverpool"],"affiliations":[{"raw_affiliation_string":"University of Liverpool","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101756232","display_name":"Shufang Zhu","orcid":"https://orcid.org/0000-0002-5922-8750"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shufang Zhu","raw_affiliation_strings":["University of Liverpool"],"affiliations":[{"raw_affiliation_string":"University of Liverpool","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092720785","display_name":"Gianmarco Parretti","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianmarco Parretti","raw_affiliation_strings":["Sapienza Universit\u00e0 di Roma"],"affiliations":[{"raw_affiliation_string":"Sapienza Universit\u00e0 di Roma","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044787611","display_name":"Christoph Weinhuber","orcid":"https://orcid.org/0000-0002-1600-4933"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christoph Weinhuber","raw_affiliation_strings":["University of Oxford"],"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013290512","display_name":"Giuseppe De Giacomo","orcid":"https://orcid.org/0000-0001-9680-7658"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["GB","IT"],"is_corresponding":false,"raw_author_name":"Giuseppe De Giacomo","raw_affiliation_strings":["Sapienza Universit\u00e0 di Roma","University of Oxford"],"affiliations":[{"raw_affiliation_string":"Sapienza Universit\u00e0 di Roma","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045161607","display_name":"Nir Piterman","orcid":"https://orcid.org/0000-0002-8242-5357"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]},{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Nir Piterman","raw_affiliation_strings":["Chalmers University of Technology","University of Gothenburg"],"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"University of Gothenburg","institution_ids":["https://openalex.org/I881427289"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068252968"],"corresponding_institution_ids":["https://openalex.org/I146655781"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32760905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"810","last_page":"820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.8528000116348267,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10142","display_name":"Formal Methods in Verification","score":0.8528000116348267,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.07940000295639038,"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/T10126","display_name":"Logic, programming, and type systems","score":0.043299999088048935,"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/leverage","display_name":"Leverage (statistics)","score":0.7663999795913696},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5774999856948853},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.49320000410079956},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.49230000376701355},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.3986000120639801},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.3163999915122986}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7663999795913696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7236999869346619},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5285999774932861},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.49320000410079956},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.49230000376701355},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3986000120639801},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C182620335","wikidata":"https://www.wikidata.org/wiki/Q2852531","display_name":"Answer set programming","level":3,"score":0.2612000107765198},{"id":"https://openalex.org/C3019612716","wikidata":"https://www.wikidata.org/wiki/Q730920","display_name":"Problem solver","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C170828538","wikidata":"https://www.wikidata.org/wiki/Q1751513","display_name":"Game mechanics","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/kr.2025/78","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2025/78","pdf_url":"https://proceedings.kr.org/2025/78/kr2025-0078-hausmann-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the TwentySecond International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/kr.2025/78","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2025/78","pdf_url":"https://proceedings.kr.org/2025/78/kr2025-0078-hausmann-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the TwentySecond International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1036363285","display_name":null,"funder_award_id":"2020-04963","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G3074649572","display_name":"Lazy Synthesis Techniques","funder_award_id":"EP/Z003121/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3593028331","display_name":null,"funder_award_id":"00000","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G589902882","display_name":null,"funder_award_id":"000001","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415904754.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"the":[1,9,27,37,62,88,101,126],"Manna-Pnueli":[2,93,98,143],"Hierarchy":[3],"has":[4],"been":[5],"used":[6],"to":[7,17,60,81,110],"define":[8],"temporal":[10],"logics":[11],"LTLf+":[12],"and":[13,128],"PPLTL+,":[14],"which":[15,75,95],"allow":[16],"use":[18],"finite-trace":[19],"LTLf/PPLTL":[20,59],"techniques":[21,57],"in":[22,44,118],"infinite-trace":[23],"settings":[24],"while":[25],"achieving":[26],"expressiveness":[28],"of":[29,113,136],"full":[30],"LTL.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"present":[36],"first":[38],"actual":[39],"solvers":[40,127],"for":[41],"reactive":[42],"synthesis":[43],"these":[45],"logics.":[46],"These":[47,103],"are":[48,105],"based":[49,71],"on":[50,52,72,133],"games":[51,104,144],"graphs":[53],"that":[54,142,153],"leverage":[55],"DFA-based":[56],"from":[58],"construct":[61],"game":[63],"arena.":[64,102],"We":[65,90,124],"start":[66],"with":[67],"a":[68,111,119,134],"symbolic":[69],"solver":[70],"Emerson-Lei":[73,115],"games,":[74,94,116],"reduces":[76],"lower-class":[77],"properties":[78],"(guarantee,":[79],"safety)":[80],"higher":[82],"ones":[83],"(recurrence,":[84],"persistence)":[85],"before":[86],"solving":[87],"game.":[89],"then":[91],"introduce":[92],"natively":[96],"embed":[97],"objectives":[99],"into":[100],"solved":[106],"by":[107],"composing":[108],"solutions":[109],"DAG":[112],"simpler":[114],"resulting":[117],"provably":[120],"more":[121],"efficient":[122],"approach.":[123],"implemented":[125],"practically":[129],"evaluated":[130],"their":[131],"performance":[132],"range":[135],"representative":[137],"formulas.":[138],"The":[139],"results":[140],"show":[141],"often":[145],"offer":[146],"significant":[147],"advantages,":[148],"though":[149],"not":[150],"universally,":[151],"indicating":[152],"combining":[154],"both":[155],"approaches":[156],"could":[157],"further":[158],"enhance":[159],"practical":[160],"performance.":[161]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-11-05T00:00:00"}
