{"id":"https://openalex.org/W2996571848","doi":"https://doi.org/10.1145/3366023","title":"Statistical Abstraction for Multi-scale Spatio-temporal Systems","display_name":"Statistical Abstraction for Multi-scale Spatio-temporal Systems","publication_year":2019,"publication_date":"2019-10-31","ids":{"openalex":"https://openalex.org/W2996571848","doi":"https://doi.org/10.1145/3366023","mag":"2996571848"},"language":"en","primary_location":{"id":"doi:10.1145/3366023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3366023","pdf_url":null,"source":{"id":"https://openalex.org/S38703467","display_name":"ACM Transactions on Modeling and Computer Simulation","issn_l":"1049-3301","issn":["1049-3301","1558-1195"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Modeling and Computer Simulation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/a4aa4cf8-7793-428c-852e-333f8db6444a","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101762800","display_name":"Michalis Michaelides","orcid":"https://orcid.org/0000-0002-4581-6260"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michalis Michaelides","raw_affiliation_strings":["School of Informatics, University of Edinburgh, Edinburgh, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-4581-6260","affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035860397","display_name":"Jane Hillston","orcid":"https://orcid.org/0000-0003-4914-9255"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jane Hillston","raw_affiliation_strings":["School of Informatics, University of Edinburgh, Edinburgh, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-4914-9255","affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017674487","display_name":"Guido Sanguinetti","orcid":"https://orcid.org/0000-0002-6663-8336"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guido Sanguinetti","raw_affiliation_strings":["School of Informatics, University of Edinburgh, Edinburgh, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.2486,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56386387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"29","issue":"4","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13377","display_name":"Ecosystem dynamics and resilience","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.8047365546226501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7906913757324219},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5677137970924377},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5646717548370361},{"id":"https://openalex.org/keywords/abstraction-layer","display_name":"Abstraction layer","score":0.5528914928436279},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5355755090713501},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5250989198684692},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.517275869846344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4426628649234772},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43666332960128784},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.41762539744377136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4050331711769104},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3597671389579773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17882519960403442},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10829541087150574}],"concepts":[{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.8047365546226501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7906913757324219},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5677137970924377},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5646717548370361},{"id":"https://openalex.org/C147358964","wikidata":"https://www.wikidata.org/wiki/Q1200992","display_name":"Abstraction layer","level":3,"score":0.5528914928436279},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5355755090713501},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5250989198684692},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.517275869846344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4426628649234772},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43666332960128784},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41762539744377136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4050331711769104},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3597671389579773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17882519960403442},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10829541087150574},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3366023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3366023","pdf_url":null,"source":{"id":"https://openalex.org/S38703467","display_name":"ACM Transactions on Modeling and Computer Simulation","issn_l":"1049-3301","issn":["1049-3301","1558-1195"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Modeling and Computer Simulation","raw_type":"journal-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/a4aa4cf8-7793-428c-852e-333f8db6444a","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/a4aa4cf8-7793-428c-852e-333f8db6444a","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Michaelides, M, Hillston, J & Sanguinetti, G 2019, 'Statistical abstraction for multi-scale spatio-temporal systems', ACM Transactions on Modeling and Computer Simulation, vol. 29, no. 4, 22, pp. 22:1-22:29. https://doi.org/10.1145/3366023","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.ed.ac.uk:publications/98939dd0-3512-431d-b554-7215b30e9d8f","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11820/98939dd0-3512-431d-b554-7215b30e9d8f","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.ed.ac.uk:publications/a4aa4cf8-7793-428c-852e-333f8db6444a","is_oa":false,"landing_page_url":"https://tomacs.acm.org/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/a4aa4cf8-7793-428c-852e-333f8db6444a","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/a4aa4cf8-7793-428c-852e-333f8db6444a","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Michaelides, M, Hillston, J & Sanguinetti, G 2019, 'Statistical abstraction for multi-scale spatio-temporal systems', ACM Transactions on Modeling and Computer Simulation, vol. 29, no. 4, 22, pp. 22:1-22:29. https://doi.org/10.1145/3366023","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W164706946","https://openalex.org/W755194005","https://openalex.org/W1824200692","https://openalex.org/W1963539737","https://openalex.org/W1973890190","https://openalex.org/W1983350265","https://openalex.org/W1997698024","https://openalex.org/W2012667580","https://openalex.org/W2018751529","https://openalex.org/W2019768978","https://openalex.org/W2029507167","https://openalex.org/W2037855648","https://openalex.org/W2043488671","https://openalex.org/W2046451925","https://openalex.org/W2051813288","https://openalex.org/W2067373714","https://openalex.org/W2068499405","https://openalex.org/W2074401358","https://openalex.org/W2084092304","https://openalex.org/W2084391661","https://openalex.org/W2090918167","https://openalex.org/W2091926965","https://openalex.org/W2097480479","https://openalex.org/W2099768828","https://openalex.org/W2100762957","https://openalex.org/W2104270185","https://openalex.org/W2128285050","https://openalex.org/W2139288598","https://openalex.org/W2155418451","https://openalex.org/W2157413433","https://openalex.org/W2211571627","https://openalex.org/W2234972264","https://openalex.org/W2259639392","https://openalex.org/W2517280042","https://openalex.org/W2588191033","https://openalex.org/W2990138404","https://openalex.org/W3026417138","https://openalex.org/W3104744823","https://openalex.org/W3124851676","https://openalex.org/W4243940851"],"related_works":["https://openalex.org/W1984744919","https://openalex.org/W2770599040","https://openalex.org/W1901380330","https://openalex.org/W2132930690","https://openalex.org/W4248324254","https://openalex.org/W3017219868","https://openalex.org/W2901324294","https://openalex.org/W3009812692","https://openalex.org/W2105980483","https://openalex.org/W3117872823"],"abstract_inverted_index":{"Modelling":[0],"spatio-temporal":[1],"systems":[2],"exhibiting":[3],"multi-scale":[4],"behaviour":[5,43,116],"is":[6,77],"a":[7,24,51,63,69,101],"powerful":[8,102],"tool":[9],"in":[10,92],"many":[11],"branches":[12],"of":[13,72,83,98,104],"science,":[14],"yet":[15],"it":[16],"still":[17],"presents":[18],"significant":[19,89],"challenges.":[20],"Here,":[21],"we":[22],"consider":[23],"general":[25],"two-layer":[26],"(agent-environment)":[27],"modelling":[28],"framework,":[29],"where":[30],"spatially":[31],"distributed":[32],"agents":[33],"behave":[34],"according":[35],"to":[36,112,134],"external":[37],"inputs":[38],"and":[39,86,138],"internal":[40],"computation;":[41],"this":[42,129],"may":[44],"include":[45],"influencing":[46],"their":[47],"immediate":[48],"environment,":[49],"creating":[50],"medium":[52],"over":[53],"which":[54,76],"agent-agent":[55],"interaction":[56],"signals":[57],"can":[58,87,131],"be":[59,132],"transmitted.":[60],"We":[61,121],"propose":[62],"novel":[64],"simulation":[65],"strategy":[66],"based":[67],"on":[68,123],"statistical":[70],"abstraction":[71,95],"the":[73,79,84,114,118],"agent":[74],"layer,":[75],"typically":[78],"most":[80],"detailed":[81],"component":[82],"model":[85,143],"incur":[88],"computational":[90],"cost":[91],"simulation.":[93],"The":[94],"makes":[96],"use":[97],"Gaussian":[99],"Processes,":[100],"class":[103],"non-parametric":[105],"regression":[106],"techniques":[107],"from":[108],"Bayesian":[109],"Machine":[110],"Learning,":[111],"estimate":[113],"agent\u2019s":[115],"given":[117],"environmental":[119],"input.":[120],"show":[122],"two":[124],"biological":[125],"case":[126],"studies":[127],"how":[128],"technique":[130],"used":[133],"speed":[135],"up":[136],"simulations":[137],"provide":[139],"further":[140],"insights":[141],"into":[142],"behaviour.":[144]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
