{"id":"https://openalex.org/W4403708895","doi":"https://doi.org/10.1145/3690407.3690481","title":"Research on the Influence of Inter-Industry Cascade Relationships Based on Reinforcement Learning","display_name":"Research on the Influence of Inter-Industry Cascade Relationships Based on Reinforcement Learning","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4403708895","doi":"https://doi.org/10.1145/3690407.3690481"},"language":"en","primary_location":{"id":"doi:10.1145/3690407.3690481","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690407.3690481","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3690407.3690481?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3690407.3690481?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wenhao Li","orcid":"https://orcid.org/0009-0001-1460-3860"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Li","raw_affiliation_strings":["School of Software, Henan University, Kaifeng, Henan, China"],"raw_orcid":"https://orcid.org/0009-0001-1460-3860","affiliations":[{"raw_affiliation_string":"School of Software, Henan University, Kaifeng, Henan, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067297600","display_name":"Hongtu Zhang","orcid":"https://orcid.org/0009-0001-8612-5351"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtu Zhang","raw_affiliation_strings":["School of Software, Henan University, Kaifeng, Henan, China"],"raw_orcid":"https://orcid.org/0009-0001-8612-5351","affiliations":[{"raw_affiliation_string":"School of Software, Henan University, Kaifeng, Henan, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065713688","display_name":"Jiahao Hu","orcid":"https://orcid.org/0009-0001-2038-3024"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Hu","raw_affiliation_strings":["School of Software, Henan University, Kaifeng, Henan, China"],"raw_orcid":"https://orcid.org/0009-0001-2038-3024","affiliations":[{"raw_affiliation_string":"School of Software, Henan University, Kaifeng, Henan, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078192937","display_name":"Fang Zuo","orcid":"https://orcid.org/0000-0001-5673-8870"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Zuo","raw_affiliation_strings":["Henan International Joint Laboratory of Intelligent Network Theory and Key Technology, Henan University, Kaifeng, Henan, China"],"raw_orcid":"https://orcid.org/0000-0001-5673-8870","affiliations":[{"raw_affiliation_string":"Henan International Joint Laboratory of Intelligent Network Theory and Key Technology, Henan University, Kaifeng, Henan, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173899330"],"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":"436","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.7904999852180481,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.7904999852180481,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.8209339380264282},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7846039533615112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5957123637199402},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.5462580919265747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.418189138174057},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23531770706176758},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.06697607040405273}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.8209339380264282},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7846039533615112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5957123637199402},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.5462580919265747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.418189138174057},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23531770706176758},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.06697607040405273},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3690407.3690481","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690407.3690481","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3690407.3690481?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3690407.3690481","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690407.3690481","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3690407.3690481?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322878","display_name":"Henan University","ror":"https://ror.org/003xyzq10"},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403708895.pdf","grobid_xml":"https://content.openalex.org/works/W4403708895.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1509289779","https://openalex.org/W1890189454","https://openalex.org/W2286109277","https://openalex.org/W2317232997","https://openalex.org/W2334782222","https://openalex.org/W2617482299","https://openalex.org/W2770406146"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2052574922","https://openalex.org/W64588465","https://openalex.org/W3120641340"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3],"the":[4,31,68,73,98,105],"rapid":[5,34],"advancement":[6],"of":[7,38,104],"technology":[8],"and":[9,35,60,101],"information":[10],"technology,":[11],"reinforcement":[12,77],"learning":[13],"has":[14],"demonstrated":[15],"tremendous":[16],"potential":[17],"in":[18,86,122],"complex":[19],"networks.":[20],"The":[21],"interdependence":[22],"among":[23,40],"urban":[24,42,58,87],"infrastructures":[25],"is":[26],"becoming":[27],"increasingly":[28],"significant,":[29],"underscoring":[30],"need":[32],"for":[33],"accurate":[36],"assessment":[37],"interdependencies":[39],"foundational":[41,88],"industries.":[43,89],"This":[44],"paper":[45],"aims":[46],"to":[47,61,82,96],"establish":[48],"a":[49,63],"network":[50],"model":[51,66,128],"based":[52],"on":[53],"input-output":[54],"tables":[55],"across":[56],"multiple":[57],"industries,":[59],"develop":[62],"cascading":[64],"propagation":[65],"using":[67],"RAS":[69],"algorithm.":[70,107],"By":[71],"integrating":[72],"DDPG":[74,106],"algorithm":[75,95,116],"from":[76],"learning,":[78],"we":[79,91],"minimize":[80],"costs":[81],"achieve":[83],"loss":[84],"targets":[85],"Additionally,":[90],"introduce":[92],"an":[93],"adaptive":[94],"optimize":[97],"execution":[99],"steps":[100],"reward":[102],"modules":[103],"Experimental":[108],"results":[109],"demonstrate":[110],"that":[111],"our":[112],"proposed":[113],"enhanced":[114],"DDPG-SAM":[115],"not":[117],"only":[118],"achieves":[119],"faster":[120],"convergence":[121],"single":[123],"executions":[124],"but":[125],"also":[126],"improves":[127],"accuracy.":[129]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
