Principles to Automate Inventive Problem Solving Based on Dialectical Negation, Assisted by Evolutionary Algorithms and TRIZ

Hdl Handle:
http://hdl.handle.net/11285/572557
Title:
Principles to Automate Inventive Problem Solving Based on Dialectical Negation, Assisted by Evolutionary Algorithms and TRIZ
Authors:
Durán Novoa, Roberto A.
Issue Date:
01/05/2011
Abstract:
An inventive problem (IP) can be defined as a human perception of a situation that has to be changed, but with at least one obstacle which impedes achievement of the desired goal. In practice, they are solved generally using random trial and error, despite the fact that in literature there are several structured approaches to stimulate creativity and deal with them. During the development of products IP solving is particularly important throughout the concept generation, being often conducted intuitively by field experts. This dependence of intuition and expertise is a bottleneck in the design as a whole: intuition for being unpredictable, and expertise for being rare and thus expensive. This dissertation proposes a series of steps, based on dialectics, to decrease IP solving user dependence. First, the reasons behind this dependence are investigated, describing the critical tasks to be performed and developing the necessary characteristics of the tools to be utilized, simplifying several existing ones under a coherent framework that can withstand different levels of expertise. In order to explore and develop the proposed model, it is studied the complementation between people's innate creativity and Computer Sciences, aiming to ideally solve IP automatically. Due to its empirical results, Evolutionary computing and TRIZ techniques are utilized for the development of the study cases, whose results shows the viability of the dialectical hypothesis in the concept generation. Finally new and complementary research directions, likely to deliver concrete results, are proposed
Keywords:
Invention; Optimization; Dialectics; Triz; Evolutionary Algorithms
Degree Program:
Programa de Graduados en Ingeniería
Advisors:
Dr. Noel León Rovira
Committee Member / Sinodal:
Dr. Humberto Aguallo Téllez; Dr. David Guemes Castorena; Dr. Víctor Hiram Vázquez Lasso; Dr. Eduardo Uresti Charre
Degree Level:
Doctor en ciencias de ingeniería
School:
Escuela de Ciencias de Ingeniería
Campus Program:
Campus Monterrey
Discipline:
Ingeniería y Ciencias Aplicadas / Engineering & Applied Sciences
Appears in Collections:
Ciencias Exactas

Full metadata record

DC FieldValue Language
dc.contributor.advisorDr. Noel León Roviraes
dc.contributor.authorDurán Novoa, Roberto A.es
dc.date.accessioned2015-08-17T11:35:11Zen
dc.date.available2015-08-17T11:35:11Zen
dc.date.issued01/05/2011-
dc.identifier.urihttp://hdl.handle.net/11285/572557en
dc.description.abstractAn inventive problem (IP) can be defined as a human perception of a situation that has to be changed, but with at least one obstacle which impedes achievement of the desired goal. In practice, they are solved generally using random trial and error, despite the fact that in literature there are several structured approaches to stimulate creativity and deal with them. During the development of products IP solving is particularly important throughout the concept generation, being often conducted intuitively by field experts. This dependence of intuition and expertise is a bottleneck in the design as a whole: intuition for being unpredictable, and expertise for being rare and thus expensive. This dissertation proposes a series of steps, based on dialectics, to decrease IP solving user dependence. First, the reasons behind this dependence are investigated, describing the critical tasks to be performed and developing the necessary characteristics of the tools to be utilized, simplifying several existing ones under a coherent framework that can withstand different levels of expertise. In order to explore and develop the proposed model, it is studied the complementation between people's innate creativity and Computer Sciences, aiming to ideally solve IP automatically. Due to its empirical results, Evolutionary computing and TRIZ techniques are utilized for the development of the study cases, whose results shows the viability of the dialectical hypothesis in the concept generation. Finally new and complementary research directions, likely to deliver concrete results, are proposeden
dc.language.isoenen
dc.rightsOpen Accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titlePrinciples to Automate Inventive Problem Solving Based on Dialectical Negation, Assisted by Evolutionary Algorithms and TRIZen
dc.typeTesis de Doctoradoes
thesis.degree.grantorInstituto Tecnológico y de Estudios Superiores de Monterreyes
thesis.degree.levelDoctor en ciencias de ingenieríaes
dc.contributor.committeememberDr. Humberto Aguallo Téllezes
dc.contributor.committeememberDr. David Guemes Castorenaes
dc.contributor.committeememberDr. Víctor Hiram Vázquez Lassoes
dc.contributor.committeememberDr. Eduardo Uresti Charrees
thesis.degree.disciplineEscuela de Ciencias de Ingenieríaes
thesis.degree.namePrograma de Graduados en Ingenieríaes
dc.subject.keywordInventionen
dc.subject.keywordOptimizationen
dc.subject.keywordDialecticsen
dc.subject.keywordTrizen
dc.subject.keywordEvolutionary Algorithmsen
thesis.degree.programCampus Monterreyes
dc.subject.disciplineIngeniería y Ciencias Aplicadas / Engineering & Applied Scienceses
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