{"id":"https://openalex.org/W4416251222","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229311","title":"Hey Pentti, We Did (More of) It!: A Vector-Symbolic Lisp With Residue Arithmetic","display_name":"Hey Pentti, We Did (More of) It!: A Vector-Symbolic Lisp With Residue Arithmetic","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251222","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229311"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5120498761","display_name":"Connor Hanley","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Connor Hanley","raw_affiliation_strings":["Carleton University,Department of Cognitive Science,Ottawa,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University,Department of Cognitive Science,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093765224","display_name":"Eilene Tomkins-Flanagan","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eilene Tomkins-Flanagan","raw_affiliation_strings":["Carleton University,Department of Cognitive Science,Ottawa,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University,Department of Cognitive Science,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008475603","display_name":"Matthew A. Kelly","orcid":"https://orcid.org/0000-0002-6541-2992"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mary Alexandria Kelly","raw_affiliation_strings":["Carleton University,Department of Cognitive Science,Ottawa,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University,Department of Cognitive Science,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29265754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.0024999999441206455,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.661300003528595},{"id":"https://openalex.org/keywords/lisp","display_name":"Lisp","score":0.6251000165939331},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4307999908924103},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.365200012922287},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.3467000126838684},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.3386000096797943},{"id":"https://openalex.org/keywords/semiring","display_name":"Semiring","score":0.32820001244544983}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.661300003528595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310999989509583},{"id":"https://openalex.org/C190883126","wikidata":"https://www.wikidata.org/wiki/Q132874","display_name":"Lisp","level":2,"score":0.6251000165939331},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.5475999712944031},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46070000529289246},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3896999955177307},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.38440001010894775},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.365200012922287},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.3386000096797943},{"id":"https://openalex.org/C21696900","wikidata":"https://www.wikidata.org/wiki/Q1333055","display_name":"Semiring","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C92811239","wikidata":"https://www.wikidata.org/wiki/Q20998670","display_name":"Expressivity","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3116999864578247},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C2781338088","wikidata":"https://www.wikidata.org/wiki/Q903495","display_name":"Residue (chemistry)","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2572000026702881},{"id":"https://openalex.org/C71480937","wikidata":"https://www.wikidata.org/wiki/Q3086516","display_name":"Residue number system","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W162608378","https://openalex.org/W173465256","https://openalex.org/W2010359042","https://openalex.org/W2014596857","https://openalex.org/W2045255985","https://openalex.org/W2062183687","https://openalex.org/W2065125569","https://openalex.org/W2102115854","https://openalex.org/W2111107118","https://openalex.org/W2118373646","https://openalex.org/W2157306293","https://openalex.org/W2157789521","https://openalex.org/W2157999631","https://openalex.org/W2345583882","https://openalex.org/W2558597819","https://openalex.org/W2952744660","https://openalex.org/W3049624241","https://openalex.org/W3093755763","https://openalex.org/W3094277857","https://openalex.org/W3168715970","https://openalex.org/W3214202924","https://openalex.org/W4205199576","https://openalex.org/W4235761353","https://openalex.org/W4242314863","https://openalex.org/W4289688858","https://openalex.org/W4388870647"],"related_works":[],"abstract_inverted_index":{"Using":[0],"Frequency-domain":[1],"Holographic":[2],"Reduced":[3],"Representations":[4],"(FHRRs),":[5],"we":[6],"extend":[7],"a":[8,27,31],"Vector-Symbolic":[9],"Architecture":[10],"(VSA)":[11],"encoding":[12,62,73],"of":[13,38,59,72,87,92],"Lisp":[14],"1.5":[15],"with":[16],"primitives":[17],"for":[18],"arithmetic":[19],"operations":[20],"using":[21],"Residue":[22],"Hyperdimensional":[23],"Computing":[24],"(RHC).":[25],"Encoding":[26],"Turing-complete":[28],"syntax":[29],"over":[30],"high-dimensional":[32],"vector":[33],"space":[34],"increases":[35],"the":[36,56,60,70,85],"expressivity":[37],"neural":[39,78],"network":[40,43],"states,":[41],"enabling":[42],"states":[44],"to":[45,84],"contain":[46],"arbitrarily":[47],"structured":[48,74],"representations":[49,75,89],"that":[50],"are":[51],"inherently":[52],"interpretable.":[53],"We":[54],"discuss":[55],"potential":[57],"applications":[58],"VSA":[61],"in":[63,90],"machine":[64],"learning":[65],"tasks,":[66],"as":[67,69],"well":[68],"importance":[71],"and":[76],"designing":[77],"networks":[79],"whose":[80],"behavior":[81],"is":[82],"sensitive":[83],"structure":[86],"their":[88],"virtue":[91],"attaining":[93],"more":[94],"general":[95],"intelligent":[96],"agents":[97],"than":[98],"exist":[99],"at":[100],"present.":[101]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-14T00:00:00"}
