Analogy making and logical inference on images using cellular automata based hyperdimensional computing

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dc.contributor.authorYilmaz, Ozgur
dc.date.accessioned2025-10-24T18:06:53Z
dc.date.available2025-10-24T18:06:53Z
dc.date.issued2015
dc.departmentMalatya Turgut Özal Üniversitesi
dc.descriptionNIPS Workshop on Cognitive Computation, CoCo 2015 -- -- Montreal; QC -- 122144
dc.description.abstractIn this paper, we introduce a framework of reservoir computing that is capable of both connectionist machine intelligence and symbolic computation. Cellular automaton is used as the reservoir of dynamical systems. A cellular automaton is a very sparsely connected network with logical nodes and nonlinear/logical connection functions, hence the proposed system corresponds to a binary valued and nonlinear neuro-symbolic architecture. Input is randomly projected onto the initial conditions of automaton cells and nonlinear computation is performed on the input via application of a rule in the automaton for a period of time. The evolution of the automaton creates a space-time volume of the automaton state space, and it is used as the reservoir. In addition to being used as the feature representation for pattern recognition, binary reservoir vectors can be combined using Boolean operations as in hyperdimensional computing, paving a direct way symbolic processing. To demonstrate the capability of the proposed system, we make analogies directly on image data by asking 'What is the Automobile of Air'?, and make logical inference using rules by asking 'Which object is the largest?'. © 2016 Elsevier B.V., All rights reserved.
dc.identifier.isbn9789666544899
dc.identifier.isbn9788073780029
dc.identifier.isbn9788024810256
dc.identifier.isbn9789986342748
dc.identifier.isbn9788073781712
dc.identifier.isbn9782954494807
dc.identifier.isbn9788024823911
dc.identifier.isbn9789562361989
dc.identifier.isbn8024810255
dc.identifier.isbn807378002X
dc.identifier.issn1613-0073
dc.identifier.scopus2-s2.0-84977506190
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3261
dc.identifier.volume1583
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherCEUR-WS
dc.relation.ispartofCEUR Workshop Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzScopus_20251023
dc.subjectArtificial intelligence
dc.subjectBins
dc.subjectCellular automata
dc.subjectDynamical systems
dc.subjectPattern recognition
dc.subjectConnection function
dc.subjectFeature representation
dc.subjectInitial conditions
dc.subjectMachine intelligence
dc.subjectNonlinear computations
dc.subjectReservoir Computing
dc.subjectSymbolic computation
dc.subjectSymbolic processing
dc.subjectCognitive systems
dc.titleAnalogy making and logical inference on images using cellular automata based hyperdimensional computing
dc.typeConference Object

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