Solving tangram puzzles: a connectionist approach

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dc.citation.epage616en_US
dc.citation.issueNumber5en_US
dc.citation.spage603en_US
dc.citation.volumeNumber8en_US
dc.contributor.authorOflazer, K.en_US
dc.date.accessioned2016-02-08T10:54:10Z
dc.date.available2016-02-08T10:54:10Z
dc.date.issued1993en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractWe present a connectionist approach for solving Tangram puzzles. Tangram is an ancient Chinese puzzle where the object is to decompose a given figure into seven basic geometric figures. One connectionist approach models Tangram pieces and their possible placements and orientations as connectionist neuron units which receive excitatory connections from input units defining the puzzle and lateral inhibitory connections from competing or conflicting units. The network of these connectionist units, operating as a Boltzmann Machine, relaxes into a configuration in which units defining the solution receive no inhibitory input from other units. We present results from an implementation of our model using the Rochester Connectionist Simulator.en_US
dc.identifier.doi10.1002/int.4550080502en_US
dc.identifier.eissn1098-111X
dc.identifier.issn0884-8173
dc.identifier.urihttp://hdl.handle.net/11693/26043
dc.language.isoEnglishen_US
dc.publisherJohn Wiley & Sonsen_US
dc.relation.isversionofhttps://doi.org/10.1002/int.4550080502en_US
dc.source.titleInternational Journal of Intelligent Systemsen_US
dc.subjectComputer simulationen_US
dc.subjectGraph theoryen_US
dc.subjectMathematical modelsen_US
dc.subjectNeural networksen_US
dc.subjectBoltzmann machineen_US
dc.subjectConnectionist unitsen_US
dc.subjectLateral inhibitory connectionsen_US
dc.subjectRochester connectionist simulatoren_US
dc.subjectTangram puzzlesen_US
dc.subjectGeometryen_US
dc.titleSolving tangram puzzles: a connectionist approachen_US
dc.typeArticleen_US
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