Exploring generation of a genetic robot's personality through neural and evolutionary means
DC Field | Value | Language |
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dc.contributor.author | Lee, Kang-Hee | - |
dc.date.available | 2018-05-10T08:31:57Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2011-11 | - |
dc.identifier.issn | 0169-023X | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/13545 | - |
dc.description.abstract | This paper proposes a way to generate a robot genome that contributes to defining the personality of a software robot or an artificial life in a mobile phone. The personality should be both complex and feature-rich, but still plausible by human standards for an emotional life form. However, it becomes increasingly difficult and time-consuming to ensure reliability, variability and consistency for the robot's personality while manually initializing values for the individual genes. To overcome this difficulty, this paper proposes a neural network algorithm for a genetic robot's personality (NNGRP) and an upgraded version of a previously introduced evolutionary algorithm for a genetic robot's personality (EAGRP). The robot genomes for heterogeneous personalities are demonstrably generated via the NNGRP and the EAGRP and compared. The implementation is embedded into genetic robots in a mobile phone to verify the feasibility and effectiveness of each algorithm. (C) 2011 Elsevier B.V. All rights reserved. | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.relation.isPartOf | DATA & KNOWLEDGE ENGINEERING | - |
dc.title | Exploring generation of a genetic robot's personality through neural and evolutionary means | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.datak.2011.06.002 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | DATA & KNOWLEDGE ENGINEERING, v.70, no.11, pp.923 - 954 | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000295431000001 | - |
dc.identifier.scopusid | 2-s2.0-80052283510 | - |
dc.citation.endPage | 954 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 923 | - |
dc.citation.title | DATA & KNOWLEDGE ENGINEERING | - |
dc.citation.volume | 70 | - |
dc.contributor.affiliatedAuthor | Lee, Kang-Hee | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Optimization | - |
dc.subject.keywordAuthor | Genetic robot | - |
dc.subject.keywordAuthor | Artificial creature | - |
dc.subject.keywordAuthor | Software robot | - |
dc.subject.keywordAuthor | Artificial life | - |
dc.subject.keywordAuthor | Emotional robot | - |
dc.subject.keywordAuthor | Robot genome | - |
dc.subject.keywordAuthor | Robot personality | - |
dc.subject.keywordAuthor | Neural network | - |
dc.subject.keywordAuthor | Evolutionary algorithm | - |
dc.subject.keywordAuthor | Mobile phone | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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