{"id":"https://openalex.org/W21828250","doi":null,"title":"Prediction in Dynamic Environment:Robocup Rescue Exploration","display_name":"Prediction in Dynamic Environment:Robocup Rescue Exploration","publication_year":2010,"publication_date":"2010-03-13","ids":{"openalex":"https://openalex.org/W21828250","mag":"21828250"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.156.12","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.12","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.rmit.edu.au/agents/www/papers/alag07-SPC.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056403144","display_name":"Andy Song","orcid":"https://orcid.org/0000-0002-7579-7048","observed_orcids":["https://orcid.org/0000-0002-7579-7048"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andy Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066217263","display_name":"Lin Padgham","orcid":"https://orcid.org/0000-0002-6974-3318","observed_orcids":["https://orcid.org/0000-0002-6974-3318"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Padgham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Lawrence Cavendon","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lawrence Cavendon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.00297371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9169999957084656,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9169999957084656,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.07479999959468842,"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/T14381","display_name":"Psychiatry, Mental Health, Neuroscience","score":0.0020000000949949026,"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/dynamic-environments","display_name":"dynamic environments","score":0.6890000104904175},{"id":"https://openalex.org/keywords/belief-desire-intention-agents","display_name":"BDI agents","score":0.9319999814033508},{"id":"https://openalex.org/keywords/event-prediction","display_name":"event prediction","score":0.7749999761581421},{"id":"https://openalex.org/keywords/robocup-rescue","display_name":"RoboCup Rescue","score":0.7400000095367432},{"id":"https://openalex.org/keywords/multi-agent-systems","display_name":"multi-agent systems","score":0.7480000257492065},{"id":"https://openalex.org/keywords/observational-learning","display_name":"observational learning","score":0.6669999957084656},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"resource allocation","score":0.4569999873638153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5262818932533264},{"id":"https://openalex.org/C2776485726","wikidata":"https://www.wikidata.org/wiki/Q17141389","display_name":"Rescue therapy","level":2,"score":0.48800817131996155},{"id":"https://openalex.org/C17006198","wikidata":"https://www.wikidata.org/wiki/Q7315030","display_name":"Rescue robot","level":4,"score":0.45716655254364014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44716039299964905},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.23145374655723572},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12733402848243713},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.1022900640964508},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.156.12","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.12","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.rmit.edu.au/agents/www/papers/alag07-SPC.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W71768770","https://openalex.org/W1480040528","https://openalex.org/W1552797176","https://openalex.org/W2062522231","https://openalex.org/W2102473090","https://openalex.org/W2105695492","https://openalex.org/W2108573602","https://openalex.org/W2125055259","https://openalex.org/W2125385474","https://openalex.org/W2127675818","https://openalex.org/W2144905495","https://openalex.org/W2147492008","https://openalex.org/W2296400517","https://openalex.org/W3017793477","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W1487250367","https://openalex.org/W2129985440","https://openalex.org/W3215409997","https://openalex.org/W1917014825","https://openalex.org/W4406762065","https://openalex.org/W2296632136","https://openalex.org/W2020568460","https://openalex.org/W7097474829","https://openalex.org/W34091606","https://openalex.org/W7042734553"],"abstract_inverted_index":{"In":[0,37],"dynamic":[1,66],"environments":[2],"BDI":[3,58],"agents":[4],"typically":[5],"involve":[6],"an":[7,14,25],"\u201cObserve,":[8],"Think,":[9],"Act":[10],"\u201d":[11],"cycle.":[12],"However,":[13],"ability":[15],"to":[16,27,29,88,106],"predict":[17,89],"environmental":[18],"events":[19],"and":[20,32,68,108,117],"dynamics":[21],"in":[22,64,81,92,123],"advance":[23],"allows":[24],"agent":[26],"begin":[28],"act":[30],"earlier":[31],"potentially":[33],"acting":[34],"more":[35,46],"efficiently.":[36],"a":[38,54,57,65],"multi-agent":[39],"setting,":[40],"this":[41],"may":[42],"also":[43],"help":[44],"with":[45],"efficient":[47],"distribution":[48],"of":[49,72,94,119],"resources.":[50],"This":[51],"paper":[52],"presents":[53],"framework":[55,101],"within":[56],"architecture":[59],"for":[60,111],"predicting":[61],"future":[62,112],"developments":[63],"environment":[67,113],"investigates":[69],"the":[70,79,82,90,100,124],"issue":[71],"learning":[73,120],"from":[74],"past":[75],"observation.":[76],"We":[77],"evaluate":[78],"approach":[80],"Robocup":[83],"Rescue":[84],"domain":[85],"on":[86],"tasks":[87],"increase":[91],"intensity":[93],"fires.":[95],"The":[96],"results":[97],"indicate":[98],"that":[99],"could":[102],"effectively":[103],"be":[104],"used":[105],"anticipate":[107],"plan":[109],"ahead":[110],"change.":[114],"Furthermore":[115],"strategies":[116],"issues":[118],"are":[121],"explored":[122],"study.":[125],"1.":[126]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-27T00:00:00"}