Enhanced innovation: A fusion of chance discovery and evolutionary computation to foster creative processes and decision making

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

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

Enhanced innovation: A fusion of chance discovery and evolutionary computation to foster creative processes and decision making

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for computer-supported collaborative work. Moreover, such a user-centered approach fuses human and computer partners in a natural way. This paper presents a first test, as well as analyzes the obtained results, of real human and computer collaboration powered by the fusion of human-based genetics algorithms and chance discovery.

Original language	English (US)
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Riccardo Poli, Owen Holland, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund Burke, Paul Darwen, Dipankar Dasgupta, Dario Floreano, James Foster, Mark Harman, Pier Luca Lanzi, Lee Spector, Andrea G. B. Tettamanzi, Dirk Thierens, Andrew M. Tyrrell
Publisher	Springer
Pages	1314-1315
Number of pages	2
ISBN (Print)	3540223436
DOIs	https://doi.org/10.1007/978-3-540-24855-2_143
State	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3103
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Online availability

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

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Cite this

Llorà, X., Ohnishi, K., Chen, Y. P., Goldberg, D. E., & Welge, M. E. (2004). Enhanced innovation: A fusion of chance discovery and evolutionary computation to foster creative processes and decision making. In R. Poli, O. Holland, W. Banzhaf, H-G. Beyer, E. Burke, P. Darwen, D. Dasgupta, D. Floreano, J. Foster, M. Harman, P. L. Lanzi, L. Spector, A. G. B. Tettamanzi, D. Thierens, & A. M. Tyrrell (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 1314-1315). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3103). Springer. https://doi.org/10.1007/978-3-540-24855-2_143

Enhanced innovation: A fusion of chance discovery and evolutionary computation to foster creative processes and decision making. / Llorà, Xavier; Ohnishi, Kei; Chen, Ying Ping et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Riccardo Poli; Owen Holland; Wolfgang Banzhaf; Hans-Georg Beyer; Edmund Burke; Paul Darwen; Dipankar Dasgupta; Dario Floreano; James Foster; Mark Harman; Pier Luca Lanzi; Lee Spector; Andrea G. B. Tettamanzi; Dirk Thierens; Andrew M. Tyrrell. Springer, 2004. p. 1314-1315 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3103).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Llorà, X, Ohnishi, K, Chen, YP, Goldberg, DE & Welge, ME 2004, Enhanced innovation: A fusion of chance discovery and evolutionary computation to foster creative processes and decision making. in R Poli, O Holland, W Banzhaf, H-G Beyer, E Burke, P Darwen, D Dasgupta, D Floreano, J Foster, M Harman, PL Lanzi, L Spector, AGB Tettamanzi, D Thierens & AM Tyrrell (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3103, Springer, pp. 1314-1315. https://doi.org/10.1007/978-3-540-24855-2_143

Llorà X, Ohnishi K, Chen YP, Goldberg DE, Welge ME. Enhanced innovation: A fusion of chance discovery and evolutionary computation to foster creative processes and decision making. In Poli R, Holland O, Banzhaf W, Beyer H-G, Burke E, Darwen P, Dasgupta D, Floreano D, Foster J, Harman M, Lanzi PL, Spector L, Tettamanzi AGB, Thierens D, Tyrrell AM, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2004. p. 1314-1315. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-24855-2_143

Llorà, Xavier ; Ohnishi, Kei ; Chen, Ying Ping et al. / Enhanced innovation : A fusion of chance discovery and evolutionary computation to foster creative processes and decision making. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Riccardo Poli ; Owen Holland ; Wolfgang Banzhaf ; Hans-Georg Beyer ; Edmund Burke ; Paul Darwen ; Dipankar Dasgupta ; Dario Floreano ; James Foster ; Mark Harman ; Pier Luca Lanzi ; Lee Spector ; Andrea G. B. Tettamanzi ; Dirk Thierens ; Andrew M. Tyrrell. Springer, 2004. pp. 1314-1315 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Enhanced innovation: A fusion of chance discovery and evolutionary computation to foster creative processes and decision making

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