{"id":"https://openalex.org/W7225797441","doi":"https://doi.org/10.5281/zenodo.24122723","title":"Patterns of Behavior: Formal Structures of Complete Action Processes and Binary Interaction","display_name":"Patterns of Behavior: Formal Structures of Complete Action Processes and Binary Interaction","publication_year":2026,"publication_date":"2026-11-11","ids":{"openalex":"https://openalex.org/W7225797441","doi":"https://doi.org/10.5281/zenodo.24122723"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24122723","doi":"https://doi.org/10.5281/zenodo.24122723","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24122723","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.24122723","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161444376","display_name":"Yipeng Gu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gu, Yipeng","raw_affiliation_strings":["Changchun University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5161444376"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11040","display_name":"Personality Traits and Psychology","score":0.42969998717308044,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11040","display_name":"Personality Traits and Psychology","score":0.42969998717308044,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11542","display_name":"Behavioral Health and Interventions","score":0.16110000014305115,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12787","display_name":"Human Behavior and Motivation","score":0.09799999743700027,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.5981000065803528},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5534999966621399},{"id":"https://openalex.org/C132074034","wikidata":"https://www.wikidata.org/wiki/Q154210","display_name":"Congruence (geometry)","level":2,"score":0.5060999989509583},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.49630001187324524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47290000319480896},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4537999927997589},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4537000060081482},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44440001249313354},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.4260999858379364},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.40779998898506165},{"id":"https://openalex.org/C65180967","wikidata":"https://www.wikidata.org/wiki/Q130901","display_name":"Binary relation","level":2,"score":0.3971000015735626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3741999864578247},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.36000001430511475},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3402999937534332},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3158999979496002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3142000138759613},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.299699991941452},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.27230000495910645},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.2615000009536743},{"id":"https://openalex.org/C144701195","wikidata":"https://www.wikidata.org/wiki/Q10859910","display_name":"Theory","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24122723","doi":"https://doi.org/10.5281/zenodo.24122723","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24122723","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.24122724","doi":"https://doi.org/10.5281/zenodo.24122724","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24122724","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24122723","doi":"https://doi.org/10.5281/zenodo.24122723","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24122723","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"English":[0,248,254],"abstractWe":[1],"develop":[2],"a":[3,50,55,91,188],"definition-driven,":[4],"locally":[5],"axiomatized":[6],"framework":[7,215],"for":[8,11],"behavioral":[9],"patterns":[10,100],"complete":[12],"action":[13,21,52],"processes":[14],"and":[15,30,59,72,77,84,98,105,111,126,133,149,159,170,186,195,219,229,239,249,255,263],"binary":[16],"interaction.":[17],"Shared":[18],"foundations":[19],"specify":[20],"agents,":[22],"actions,":[23],"evidence,":[24],"content":[25],"perspectives,":[26],"partial":[27],"identification,":[28],"patterns,":[29],"conditional":[31],"personality":[32,79,114,172],"classification":[33],"with":[34,252],"distinct":[35,102,175],"branch":[36,40],"criteria.":[37],"The":[38,214],"complete-action":[39],"organizes":[41],"five":[42,194,199],"functional":[43],"blocks":[44],"through":[45,156],"21":[46],"preference":[47],"parameters,":[48],"distinguishes":[49],"single":[51],"form":[53,110],"from":[54,63,101],"conditionally":[56],"stable":[57],"pattern,":[58],"separates":[60],"structural":[61,83],"consistency":[62],"empirical":[64,234],"frequency.":[65],"Eight":[66],"families":[67],"contain":[68],"63":[69],"expanded":[70],"configurations":[71],"52":[73],"primary":[74],"configurations.":[75],"Family":[76],"configuration":[78],"assignments":[80],"require":[81,232],"explicit":[82,157,220],"matching":[85],"conditions;":[86,222],"the":[87,140,244,266],"catalogue":[88],"is":[89],"not":[90],"population":[92,225],"taxonomy.":[93],"Binary":[94],"interaction":[95],"constructs":[96],"goal":[97],"evaluation":[99,122],"materials.":[103],"Approach":[104],"avoidance":[106],"each":[107],"define":[108],"8":[109],"9":[112],"impact-direction":[113],"types,":[115,129],"34":[116],"entries":[117],"across":[118],"four":[119],"catalogues;":[120],"role":[121],"yields":[123],"25":[124],"agent":[125],"18":[127],"recipient":[128],"450":[130],"formal":[131,217],"pairings,":[132],"48":[134],"focused":[135],"pairings.":[136],"Traceable":[137],"links":[138],"preserve":[139],"distinction":[141],"between":[142],"wanted":[143],"content,":[144],"events":[145],"that":[146],"have":[147],"occurred,":[148],"judgments.":[150],"Complete":[151],"actions":[152],"enter":[153],"these":[154],"records":[155],"action-event":[158],"action-goal":[160],"links.":[161],"Single":[162],"joint":[163,171],"records,":[164],"sample":[165],"identification":[166],"within":[167],"linked":[168],"ranges,":[169],"descriptions":[173,208],"occupy":[174],"levels":[176],"without":[177],"replacing":[178],"one":[179],"another's":[180],"conditions.":[181],"Under":[182],"specified":[183],"congruence":[184],"axioms":[185],"non-degeneracy,":[187],"class-phase":[189],"model":[190],"has":[191],"phase":[192],"period":[193],"requires":[196],"at":[197],"least":[198],"carrier":[200],"classes.":[201],"A":[202],"shared":[203],"application":[204],"examines":[205],"Big":[206],"Five":[207],"while":[209],"retaining":[210],"their":[211],"measurement":[212,223],"role.":[213],"supplies":[216],"constructions":[218],"undefined":[221],"validity,":[224],"distributions,":[226],"longitudinal":[227],"stability,":[228],"predictive":[230],"gains":[231],"independent":[233],"tests.":[235],"\u4e2d\u6587\u6458\u8981\u672c\u4e66\u4ece\u5b8c\u6574\u884c\u4e3a\u8fc7\u7a0b\u4e0e\u4e8c\u5143\u4e92\u52a8\u4e24\u4e2a\u5206\u6790\u5165\u53e3,\u5efa\u7acb\u4e00\u5957\u5b9a\u4e49\u9a71\u52a8\u3001\u5c40\u90e8\u516c\u7406\u5316\u7684\u884c\u4e3a\u6a21\u5f0f\u7406\u8bba\u3002\u672c\u4e66\u4ee5\u884c\u4e3a\u4eba\u4e0e\u884c\u4e3a\u4e3a\u8d77\u70b9,\u660e\u786e\u6750\u6599\u3001\u5185\u5bb9\u89c6\u89d2\u3001\u90e8\u5206\u8bc6\u522b\u3001\u6a21\u5f0f\u6784\u9020\u4e0e\u6761\u4ef6\u6027\u4eba\u683c\u5206\u7c7b,\u540c\u65f6\u4fdd\u7559\u5404\u5206\u8bba\u7684\u6210\u7acb\u6761\u4ef6\u3002\u5b8c\u6574\u884c\u4e3a\u5206\u8bba\u4ee5\u4e94\u4e2a\u529f\u80fd\u677f\u5757\u548c\u4e8c\u5341\u4e00\u4e2a\u504f\u597d\u53c2\u6570\u7ec4\u7ec7\u884c\u4e3a,\u533a\u5206\u5355\u6b21\u884c\u4e3a\u8303\u5f0f\u4e0e\u7279\u5b9a\u57df\u548c\u7a97\u53e3\u5185\u7684\u6761\u4ef6\u7a33\u5b9a\u6a21\u5f0f,\u5e76\u533a\u5206\u7ed3\u6784\u81ea\u6d3d\u6027\u4e0e\u73b0\u5b9e\u6837\u672c\u9891\u7387\u3002\u516b\u4e2a\u5bb6\u65cf\u7ec4\u7ec763\u9879\u5c55\u5f00\u914d\u7f6e\u548c52\u9879\u4e3b\u914d\u7f6e;\u5bb6\u65cf\u4eba\u683c\u4e0e\u914d\u7f6e\u4eba\u683c\u5206\u7c7b\u660e\u786e\u4ece\u6a21\u5f0f\u7ed3\u6784\u5230\u4e3b\u4f53\u5206\u7c7b\u7684\u6761\u4ef6,\u4e0d\u628a\u76ee\u5f55\u7b49\u540c\u4e8e\u4eba\u53e3\u81ea\u7136\u5206\u7c7b\u3002\u4e8c\u5143\u4e92\u52a8\u5206\u8bba\u5206\u522b\u4ece\u76ee\u6807\u6750\u6599\u548c\u5df2\u53d1\u751f\u4e8b\u4ef6\u5f62\u6210\u76ee\u6807\u6a21\u5f0f\u4e0e\u8bc4\u4f30\u6a21\u5f0f;\u8d8b\u5411\u7aef\u548c\u89c4\u907f\u7aef\u5206\u522b\u8bbe\u7f6e8\u9879\u4e92\u52a8\u65b9\u5f0f\u4eba\u683c\u53ca9\u9879\u5f71\u54cd\u65b9\u5411\u4eba\u683c,\u517134\u9879\u76ee\u5f55,\u89c4\u907f\u7aef\u7684\u201c\u6700\u201d\u7531\u89c4\u5b9a\u5019\u9009\u57df\u4e2d\u7684\u6709\u636e\u6bd4\u8f83\u786e\u5b9a,\u6837\u672c\u4e3b\u5bfc\u7ed3\u6784\u53e6\u7531\u5404\u81ea\u6709\u6548\u8bb0\u5f55\u8bc6\u522b\u3002\u8bc4\u4f30\u4fa7\u5efa\u7acb25\u7c7b\u65bd\u65b9\u300118\u7c7b\u53d7\u65b9\u3001450\u79cd\u5f62\u5f0f\u914d\u5bf9\u548c48\u7c7b\u91cd\u70b9\u914d\u5bf9\u3002\u5e0c\u671b\u3001\u4e0d\u5e0c\u671b\u5185\u5bb9\u3001\u5b9e\u9645\u4e8b\u4ef6\u548c\u5224\u65ad\u901a\u8fc7\u53ef\u8ffd\u6eaf\u6750\u6599\u8054\u7cfb;\u5b8c\u6574\u884c\u4e3a\u901a\u8fc7\u660e\u786e\u7684\u884c\u52a8\u2014\u4e8b\u4ef6\u4e0e\u884c\u52a8\u2014\u76ee\u6807\u5173\u8054\u63a5\u5165\u8fd9\u4e9b\u8bb0\u5f55\u3002\u5355\u6b21\u8054\u5408\u8bb0\u5f55\u3001\u5173\u8054\u8303\u56f4\u5185\u7684\u6837\u672c\u8bc6\u522b\u53ca\u4eba\u683c\u8054\u5408\u63cf\u8ff0\u5206\u5c42\u6784\u9020,\u5f7c\u6b64\u4e0d\u4ee3\u66ff\u6210\u7acb\u6761\u4ef6\u3002\u7c7b\u522b\u76f8\u4f4d\u6a21\u578b\u5728\u7ed9\u5b9a\u516c\u7406\u548c\u975e\u9000\u5316\u6761\u4ef6\u4e0b\u5f97\u5230\u4e94\u9636\u76f8\u4f4d\u5468\u671f\u53ca\u81f3\u5c11\u4e94\u4e2a\u627f\u8f7d\u7c7b\u522b\u3002\u5171\u540c\u5e94\u7528\u5728\u4fdd\u7559\u5927\u4e94\u6d4b\u91cf\u4f5c\u7528\u7684\u57fa\u7840\u4e0a\u5206\u6790\u884c\u52a8\u7ec4\u7ec7\u3001\u4e92\u52a8\u76ee\u6807\u4e0e\u89d2\u8272\u5224\u65ad\u3002\u672c\u4e66\u7ed9\u51fa\u5f62\u5f0f\u6784\u9020\u53ca\u660e\u786e\u7684\u65e0\u5b9a\u4e49\u51fa\u53e3;\u6d4b\u91cf\u6548\u5ea6\u3001\u73b0\u5b9e\u5206\u5e03\u3001\u7eb5\u5411\u7a33\u5b9a\u6027\u4e0e\u9884\u6d4b\u589e\u91cf\u4ecd\u9700\u72ec\u7acb\u68c0\u9a8c\u3002":[236],"Full":[237],"texts":[238],"supplementary":[240],"materialThis":[241],"record":[242],"provides":[243],"full":[245],"text":[246],"in":[247],"Chinese,":[250],"together":[251],"separate":[253],"bilingual":[256],"Chinese-English":[257],"theory-framework":[258],"diagrams":[259],"to":[260,273],"support":[261],"reading":[262],"cross-referencing":[264],"of":[265],"main":[267],"text.":[268],"Companion":[269],"website:":[270],"yipenggu.com":[271],"(planned":[272],"go":[274],"online":[275],"before":[276],"manuscript":[277],"submission).":[278],"\u5168\u6587\u4e0e\u8865\u5145\u6750\u6599\u672c\u8bb0\u5f55\u63d0\u4f9b\u672c\u7406\u8bba\u7684\u4e2d\u82f1\u6587\u5168\u6587,\u4ee5\u53ca\u82f1\u6587\u7248\u548c\u4e2d\u82f1\u7248\u7406\u8bba\u6846\u67b6\u56fe\u8865\u5145\u6750\u6599,\u4f9b\u8bfb\u8005\u8f85\u52a9\u7406\u89e3\u3001\u5b9a\u4f4d\u548c\u5bf9\u7167\u6b63\u6587\u3002\u914d\u5957\u7f51\u7ad9\u57df\u540d\u4e3ayipenggu.com,\u8ba1\u5212\u4e8e\u63d0\u4ea4\u8bba\u6587\u524d\u4e0a\u7ebf\u3002":[279]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-12T00:00:00"}