{"id":"https://openalex.org/W4226232501","doi":"https://doi.org/10.1007/978-3-030-99253-8_3","title":"On probability-raising causality in Markov decision processes","display_name":"On probability-raising causality in Markov decision processes","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226232501","doi":"https://doi.org/10.1007/978-3-030-99253-8_3"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-99253-8_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-99253-8_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-99253-8_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-99253-8_3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091344667","display_name":"Christel Baier","orcid":"https://orcid.org/0000-0002-5321-9343"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christel Baier","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5321-9343","affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023481936","display_name":"Florian Funke","orcid":"https://orcid.org/0000-0001-7301-1550"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Funke","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7301-1550","affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035546736","display_name":"Jakob Piribauer","orcid":"https://orcid.org/0000-0003-4829-0476"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jakob Piribauer","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4829-0476","affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061121873","display_name":"Robin Ziemek","orcid":"https://orcid.org/0000-0002-8490-1433"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Robin Ziemek","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8490-1433","affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5035546736","https://openalex.org/A5061121873","https://openalex.org/A5091344667"],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":1.0118,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77188913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9955999851226807,"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":"Bayesian Modeling and Causal Inference","score":0.9955999851226807,"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/T10142","display_name":"Formal Methods in Verification","score":0.9573000073432922,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.95660001039505,"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/raising","display_name":"Raising (metalworking)","score":0.8498167991638184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7681047916412354},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.6973000168800354},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5826449990272522},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.562738835811615},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4776548147201538},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4671354293823242},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46329960227012634},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.45238590240478516},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42142254114151},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41750431060791016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3950311541557312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33704113960266113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3334612548351288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1957501769065857},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16368472576141357}],"concepts":[{"id":"https://openalex.org/C2780589192","wikidata":"https://www.wikidata.org/wiki/Q7285140","display_name":"Raising (metalworking)","level":2,"score":0.8498167991638184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681047916412354},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.6973000168800354},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5826449990272522},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.562738835811615},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4776548147201538},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4671354293823242},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46329960227012634},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.45238590240478516},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42142254114151},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41750431060791016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3950311541557312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33704113960266113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3334612548351288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1957501769065857},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16368472576141357},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-99253-8_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-99253-8_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-99253-8_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-99253-8_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-99253-8_3","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-99253-8_3.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1375572575","display_name":"EXC 2050: Centre for Tactile Internet with HumanintheLoop (CeTI)","funder_award_id":"390696704","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G1465285713","display_name":null,"funder_award_id":"BA-1679/11-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G1933938177","display_name":null,"funder_award_id":"EXC 2050/1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G3032849772","display_name":null,"funder_award_id":"TRR 248","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G3449622045","display_name":null,"funder_award_id":"BA-1679/12-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G4021765181","display_name":null,"funder_award_id":"2050/1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6819048190","display_name":null,"funder_award_id":"GRK 1763","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G890954746","display_name":"TRR 248: Grundlagen verst\u00e4ndlicher SoftwareSysteme  f\u00fcr eine nachvollziehbare cyberphysische Welt","funder_award_id":"389792660","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226232501.pdf","grobid_xml":"https://content.openalex.org/works/W4226232501.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W225106791","https://openalex.org/W601509448","https://openalex.org/W1550168504","https://openalex.org/W1621538476","https://openalex.org/W1993200481","https://openalex.org/W2028560736","https://openalex.org/W2031494345","https://openalex.org/W2065086898","https://openalex.org/W2067754486","https://openalex.org/W2081287319","https://openalex.org/W2108443473","https://openalex.org/W2130780163","https://openalex.org/W2334782222","https://openalex.org/W2510599267","https://openalex.org/W2528502439","https://openalex.org/W2904634625","https://openalex.org/W2962984263","https://openalex.org/W2963563466","https://openalex.org/W3097615709","https://openalex.org/W3143219118","https://openalex.org/W3184186157","https://openalex.org/W3192382483","https://openalex.org/W4239025284","https://openalex.org/W4246455455","https://openalex.org/W4250292288","https://openalex.org/W4379364172"],"related_works":["https://openalex.org/W2349031816","https://openalex.org/W1985929414","https://openalex.org/W2354572397","https://openalex.org/W2286952125","https://openalex.org/W2382114635","https://openalex.org/W4386088090","https://openalex.org/W2166657566","https://openalex.org/W3163570241","https://openalex.org/W2354655943","https://openalex.org/W2385857730"],"abstract_inverted_index":{"Abstract":[0],"The":[1,28],"purpose":[2],"of":[3,11,39,49],"this":[4],"paper":[5],"is":[6,82],"to":[7,23,79],"introduce":[8],"a":[9],"notion":[10],"causality":[12],"in":[13],"Markov":[14],"decision":[15],"processes":[16],"based":[17],"on":[18],"the":[19,37,70],"probability-raising":[20,40],"principle":[21],"and":[22,36,59,63],"analyze":[24],"its":[25],"algorithmic":[26],"properties.":[27],"latter":[29],"includes":[30],"algorithms":[31,65],"for":[32,42,61,66,73],"checking":[33],"cause-effect":[34],"relationships":[35],"existence":[38],"causes":[41,62,76],"given":[43],"effect":[44],"scenarios.":[45],"Inspired":[46],"by":[47],"concepts":[48],"statistical":[50],"analysis,":[51],"we":[52],"study":[53],"quality":[54],"measures":[55,81],"(recall,":[56],"coverage":[57],"ratio":[58],"f-score)":[60],"develop":[64],"their":[67],"computation.":[68],"Finally,":[69],"computational":[71],"complexity":[72],"finding":[74],"optimal":[75],"with":[77],"respect":[78],"these":[80],"analyzed.":[83]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}