Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making

Llorà, Xavier; Ohnishi, Kouhei; Chen, Ying Ping; Goldberg, David E.; Welge, Michael

doi:10.1007/978-3-540-24855-2_143

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…After three initial experiments to validate the DISCUS concept (Llorà et al, 2004a(Llorà et al, , 2004b(Llorà et al, , 2004c) the platform was ready for a real-world experiment in the marketing research area. March 2005 became the achievement of a big milestone for the DISCUS project (Llorà et al, 2006b).…”

Section: All Components In Actionmentioning

confidence: 99%

The innovation pump: supporting creative processes in collaborative engineering

Llorà

Goldberg

2009

IJCE

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Abstract:The pervasive expansion of computers and internet has change the way people collaborate. Cybercollaboratories for collaborative engineering in form of web boards, blogs, e-mails, and instant messaging have become de facto mainstream communication channels. This paper reviews the new framework set after these technologies and presents how collaborative creativity and innovation can be modelled and supported using computational models. The paper continues presenting an innovation-support model based on the usage of genetic algorithms as computational metaphors of human innovation. The paper also discuses the results achieved using the proposed technologies in real-world collaborative creative processes.

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Section: All Components In Actionmentioning

confidence: 99%

The innovation pump: supporting creative processes in collaborative engineering

Llorà

Goldberg

2009

IJCE

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“…4 A detailed description of DISCUS is beyond the scope of this paper and may be found elsewhere. 5,[8][9][10] However, the rest of this section covers some key features that are the basis of the innovation support infrastructure proposed by DISCUS.…”

Section: Discus An Integration Frameworkmentioning

confidence: 99%

“…10 From this initial experiment we learned about the usefulness of providing feedback to the participants on real time during the discussion. KeyGraphs were regarded as a valuable asset to identify the main topics covered and their interactions.…”

Section: Initial Experimentsmentioning

confidence: 99%

Innovation and Creativity Support via Chance Discovery, Genetic Algorithms, and Data Mining

Llorà

Goldberg

Ohsawa

et al. 2006

New Math. and Nat. Computation

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Creativity protocols and methodologies tend to be time consuming if applied manually. This paper presents how information technologies can support innovation and creativity for collaborative scenario creation and discussion. The fusion of change discovery, genetics algorithms, data mining, and computer-supported collaborative tools provide computational models of innovation and creativity. The proposed technology allows groups of participants in a creative processes to have pervasive access to the analysis of the current scenario in real time. This paper introduces such innovation technologies gathered in the DISCUS project, and summarizes the usage of DISCUS on marketing research workshops.

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