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An approach to human–machine collaboration in innovation

  • Tony McCaffrey (a1) and Lee Spector (a2)
Abstract
Abstract

If a solvable problem is currently unsolved, then something important to a solution is most likely being overlooked. From this simple observation we derive the obscure features hypothesis: every innovative solution is built upon at least one commonly overlooked or new (i.e., obscure) feature of the problem. By using a new definition of a feature as an effect of an interaction, we are able to accomplish five things. First, we are able to determine where features come from and how to search for new ones. Second, we are able to construct mathematical arguments that the set of features of an object is not computably enumerable. Third, we are able to characterize innovative problem solving as looking for a series of interactions that produce the desired effects (i.e., the goal). Fourth, we are able to construct a precise problem-solving grammar that is both human and machine friendly. Fifth, we are able to devise a visual and verbal problem-solving representation that both humans and computers can contribute to as they help counteract each other's problem-solving weaknesses. We show how computers can counter some of the known cognitive obstacles to innovation that humans have. We also briefly discuss ways in which humans can return the favor. We conclude that a promising process for innovative problem solving is a human–computer collaboration in which each partner assists the other in unearthing the obscure features of a problem.

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Corresponding author
Reprint requests to: Tony McCaffrey, Innovation Accelerator, Inc., 55 Snow Road, West Brookfield, MA01585, USA. E-mail: tony@innovationaccelerator.com
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G. Angus (2013). Cosmological simulations in MOND: the cluster scale halo mass function with light sterile neutrinos. Monthly Notices of the Royal Astronomical Society 436 (1), 202211.

K. Dorst (2011). The core of “design thinking” and its application. Design Studies 32 (6), 521532.

K. Duncker (1945). On problem-solving. Psychological Monographs 58 (5), 1113.

J.S. Gero , & U. Kannengiesser (2004). The situated function-behavior-structure framework. Design Studies 25 (4), 373391.

J. Hirtz , R. Stone , D. McAdams , S. Szykman , & K. Wood (2002). A functional basis for engineering design: reconciling and evolving previous efforts. Research in Engineering Design 13 (2), 6582.

D.G. Jansson , & S.M. Smith (1991). Design fixation. Design Studies 12 (1), 311.

D. Kennefick (2009). Testing relativity from the 1919 eclipse—a question of bias. Physics Today 62 (3), 3742.

P. Kroupa , B. Famaey , K. de Boer , J. Dabringhausen , M. Pawlowski , C. Boily , H. Jerjen , D. Forbes , G. Hensler , & M. Metz (2010). Local-group tests of dark-matter concordance cosmology: towards a new paradigm for structure formation. Astronomy and Astrophysics 523, 3254.

D. Lenat , & J.S. Brown (1984). Why AM and EURISKO appear to work. Artificial Intelligence 23 (3), 269294. doi:10.1016/0004-3702(84)90016-X

P. Marks (2015). Eureka machines. New Scientist 227 (2036), 3235.

T. McCaffrey (2012). Innovation relies on the obscure: a key to overcoming the classic functional fixedness problem. Psychological Science 23 (3), 215218.

S. Mednick (1962). The associative basis of the creative process. Psychological Review 69 (3), 220232.

G. Miller (1995). WordNet: a lexical database for English. Communications of the ACM 38 (11), 3941.

G.D. Ritchie , & F.K. Hanna (1984). AM: a case study in AI methodology. Artificial Intelligence 23 (3), 249268.

O.W. Salomons , F.J.A.M. van Houten , & H.J.J. Kals (1993). Review of research in feature-based design. Journal of Manufacturing Systems 12 (2), 113132.

V. Trimble (1987). Existence and nature of dark matter in the universe. Annual Review of Astronomy and Astrophysics, 25, 425472.

D. van Kelft , & P. Kes (2010). The discovery of superconductivity. Physics Today 63 (9), 3843.

V.M. Vinokur , T.I. Baturina , M.V. Fistul , A.Y. Mironov , M.R. Baklanov , & C. Strunk (2008). Superinsulator and quantum synchronization. Nature 452 (7187), 613615.

F. Zwicky (1937). On the masses of nebulae and of clusters of nebulae. Astrophysical Journal 86, 217.

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AI EDAM
  • ISSN: 0890-0604
  • EISSN: 1469-1760
  • URL: /core/journals/ai-edam
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