Naturalizing Peirce’s Semiotics: Ecological Psychology’s Solution to the Problem of Creative Abduction

  • Alex Kirlik
  • Peter Storkerson
Part of the Studies in Computational Intelligence book series (SCI, volume 314)


The study of model-based reasoning (MBR) is one of the most interesting recent developments at the intersection of psychology and the philosophy of science. Although a broad and eclectic area of inquiry, one central axis by which MBR connects these disciplines is anchored at one end in theories of internal reasoning (in cognitive science), and at the other, in C.S. Peirce’s semiotics (in philosophy). In this paper, we attempt to show that Peirce’s semiotics actually has more natural affinity on the psychological side with ecological psychology, as originated by James J. Gibson and especially Egon Brunswik, than it does with non-interactionist approaches to cognitive science. In particular, we highlight the strong ties we believe to exist between the triarchic structure of semiotics as conceived by Peirce, and the similar triarchic stucture of Brunswik’s lens model of organismic achievement in irreducibly uncertain ecologies. The lens model, considered as a theory of creative abduction, provides a concrete instantiation of at least one, albeit limited, interpretation of Peirce’s semiotics, one that we believe could be quite fruitful in future theoretical and empirical investigations of MBR in both science and philosophy.


Perceptual Judgment Graphic Design Probabilistic Functionalism Lens Model Ecological Psychology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Anderson, J.R.: The Adaptive Character of Thought. Lawrence Erlbaum Associates, Hillsdale (1990)Google Scholar
  2. 2.
    Anderson, J.R., Bothell, D., Byrne, M.D., Douglass, S., Lebiere, C., Quin, Y.: An integrated theory of the mind. Psychological Review 111, 1036–1060 (2004)CrossRefGoogle Scholar
  3. 3.
    Araujo, D., Davids, K., Passos, P.: Ecological validity, representative design, and correspondence between experimental task constraints and behavioral setting: Comments on Rogers, Kadar, and Costall. Ecological Psychology 19(1), 69–78 (2007)Google Scholar
  4. 4.
    Barthes, R.: Elements of Semiology. Hill and Wang, New York (1964)Google Scholar
  5. 5.
    Bonsiepe, G.: Visual/verbal rhetoric. UlM 14/15/16, 23–40 (1965)Google Scholar
  6. 6.
    Bonsiepe, G.: A method for quantifying order in typographic design. The Journal of Typographic Research 2(3), 203–220 (1968)Google Scholar
  7. 7.
    Bonsiepe, G.: The uneasy relationship between design and design research. In: Mitchel, R. (ed.) Design Research Now, pp. 25–39. Springer, Berlin (2008)Google Scholar
  8. 8.
    Brehmer, B.: The psychology of linear judgment models. Acta Psychologica 87, 137–154 (1994)CrossRefGoogle Scholar
  9. 9.
    Brunswik, E.: The Conceptual Framework of Psychology. University of Chicago Press, Chicago (1952)Google Scholar
  10. 10.
    Brunswik, E.: Representative design and probabilistic theory in a functional psychology. Psychological Review 62, 193–217 (1955)CrossRefGoogle Scholar
  11. 11.
    Brunswik, E.: Perception and the Representative Design of Psychological Experiments. University of California Press, Berkeley (1956)Google Scholar
  12. 12.
    Candlin, F.: Practice-based doctorates and questions of academic legitimacy. International Journal of Art and Design Education 19(1), 96–101 (2000)CrossRefGoogle Scholar
  13. 13.
    Cartwright, N.: How the Laws of Physics Lie. Oxford University Press, New York (1983)CrossRefGoogle Scholar
  14. 14.
    Crisp, D.: Book review of visible signs: An introduction to semiotics and the fundamentals of creative design. Print 58(2), 34 (2004)Google Scholar
  15. 15.
    Crotty, M.: The Foundations of Social Research: Meaning and Perspective in the Research Process. Sage Publications, London (1998)Google Scholar
  16. 16.
    Cutting, J.E.: Two ecological perspectives: Gibson vs. Shaw and Turvey. The American Journal of Psychology 95(2), 199–222 (1982)Google Scholar
  17. 17.
    Davids, K., Button, C., Araujo, D., Renshaw, I., Hristovski, R.: Movement models from sports provide representative task constraints for studying adaptive behavior in human movement systems. Adaptive Behavior 14(1), 73–95 (2006)CrossRefGoogle Scholar
  18. 18.
    Deely, J.: Basics of Semiotics. University of Indiana Press, Bloomington (1990)Google Scholar
  19. 19.
    Basel School of Design Visual Communication Institute: Welcome (2009), (Retrieved, June 23, 2009)
  20. 20.
    Domandi, M., Mead, M.: Anthropology and glyphs. Print 23(6), 50–53 (1969)Google Scholar
  21. 21.
    Dreyfus, H.: Symbol Sourcebook. Van Nostrand Reinhold, New York (1984)Google Scholar
  22. 22.
    Dreyfus, P.: Design education today: Turmoil and transition. Print 23(5) (1969)Google Scholar
  23. 23.
    Eco, U.: A Theory of Semiotics. Indiana University Press, Bloomington (1979)Google Scholar
  24. 24.
    Ehses, H.: Representing Macbeth: A case study in visual rhetoric. Design Issues 1(1), 53–63 (1984)CrossRefGoogle Scholar
  25. 25.
    Flyvberg, B.: Making Social Science Matter: Why Social Inquiry Fails and how it Can Succeed Again. Cambridge University Press, Cambridge (2001)Google Scholar
  26. 26.
    Fodor, J.A.: Methodological solipsism considered as a research strategy in cognitive psychology. Behavioral and Brain Sciences 3, 63–110 (1980)CrossRefGoogle Scholar
  27. 27.
    Fodor, J.A., Pylyshyn, Z.W.: How direct is visual perception? some reflections on Gibson’s ecological approach. Cognition 9, 139–196 (1981)CrossRefGoogle Scholar
  28. 28.
    Frascara, J.: User-Centered Graphic Design: Mass Communications and Social Change. Taylor and Francis, London (1997)Google Scholar
  29. 29.
    Frassen van, B.: The Scientific Image. Oxford University Press, New York (1980)CrossRefGoogle Scholar
  30. 30.
    Frutiger, A.: Signs and Symbols: Their Design and Meaning. Studio Editions, Zurich (1978/1989)Google Scholar
  31. 31.
    Frutiger, A.: Type Sign Symbol. Editions ABC, Zurich (1980)Google Scholar
  32. 32.
    Gibson, J.: Survival in a world of probable objects. In: Hammond, K.R., Stewart, T. (eds.) The Essential Brunswik, pp. 244–246. Oxford University Press, Oxford (2001) (Reprinted)Google Scholar
  33. 33.
    Gibson, J.J.: The Perception of the Visual World. Houghton Mifflin, Boston (1950)Google Scholar
  34. 34.
    Gibson, J.J.: The Senses Considered as Perceptual Systems. Houghton Mifflin, Boston (1966)Google Scholar
  35. 35.
    Gibson, J.J.: The Ecological Approach to Visual Perception. Lawrence Erlbaum, Hillsdale (1986), Originally work published in 1979Google Scholar
  36. 36.
    Gigerenzer, G., Engel, C.: Heuristics and the Law. MIT Press, Cambridge (2006)Google Scholar
  37. 37.
    Gigerenzer, G., Goldstein, D.G.: Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review 103, 650–669 (1996)CrossRefGoogle Scholar
  38. 38.
    Gigerenzer, G., Kurz, E.M.: Vicarious functioning reconsidered: A fast and frugal lens model. In: Hammond, K.R., Stewart, T.R. (eds.) The Essential Brunswik, pp. 342–347. Oxford University Press, New York (2001)Google Scholar
  39. 39.
    Gigerenzer, G., Murray, D.: Cognition as Intuitive Statistics. Lawrence Erlbaum, Hillsdale (1987)Google Scholar
  40. 40.
    Gigerenzer, G., Selten, R.: Bounded Rationality: The Adaptive Toolbox. MIT Press, Cambridge (2001)Google Scholar
  41. 41.
    Gigerenzer, G., Todd, P.M.: The ABC Research Group: Simple Heuristics that Make Us Smart. Oxford University Press, New York (1986)Google Scholar
  42. 42.
    Goldstein, W.M.: Introduction to Brunswikian theory and method. In: Kirlik, A. (ed.) Adaptive Perspectives on Human-Technology Interaction, pp. 10–24. Oxford University Press, New York (2006)Google Scholar
  43. 43.
    Hammond, K.: Probabilistic functionalism and the clinical method. Psychological Review 62, 255–262 (1955)CrossRefGoogle Scholar
  44. 44.
    Hammond, K., Stewart, T.R.: The Essential Brunswik. Oxford University Press, Oxford (2001)Google Scholar
  45. 45.
    Heft, H.: Ecological Psychology in Context: James Gibson, Roger Barker, and the Legacy of William James Radical Empiricism. Lawrence Erlbaum, Mahwah (2001)Google Scholar
  46. 46.
    Hunter, W.S.: The psychological study of behavior. Psychological Review 39, 1–24 (1932)CrossRefGoogle Scholar
  47. 47.
    Hursch, C.J., Hammond, K.R., Hursch, J.L.: Some methodological considerations in multiple-cue probability studies. Psychological Bulletin 71, 42–60 (1964)Google Scholar
  48. 48.
    Jacobs, D.M., Michaels, C.F.: On the apparent paradox of learning and realism. Ecological Psychology 14, 127–139 (2002)CrossRefGoogle Scholar
  49. 49.
    James, W.: A world of pure experience. Journal of Philosophy, Psychology, and Scientific Methods 1(20, 21) (1904)Google Scholar
  50. 50.
    Karelaia, N., Hogarth, R.M.: Determinants of linear judgment: A meta-analysis of lens studies. Psychological Bulletin 134(3), 404–426 (2008)CrossRefGoogle Scholar
  51. 51.
    Kinross, R.: Semiotics and designing. Information Design Journal 4(3), 190–198 (1986)Google Scholar
  52. 52.
    Kirlik, A.: On Gibson’s review of Brunswik. In: Hammond, K.R., Stewart, T.R. (eds.) The Essential Brunswik, pp. 238–242. Oxford University Press, New York (2001)Google Scholar
  53. 53.
    Kirlik, A.: Reiventing intelligence for an invented world. In: Sternberg, R.J., Preiss, D.D. (eds.) Intelligence and technology: The impact of tools on the nature and development of human abilities, pp. 105–134. Lawrence Erlbaum Associates, Mawhah (2005)Google Scholar
  54. 54.
    Kirlik, A.: Adaptive Perspectives on Human-Technology Interaction: Methods and models for cognitive engineering and human-computer interaction. Oxford University Press, New York (2006)Google Scholar
  55. 55.
    Kirlik, A.: Requirements for psychological models to support design: Toward ecological task analysis. In: Flach, J., Hancock, P., Caird, J., Vicente, K. (eds.) Global Perspectives on the Ecology of Human-Machine Systems, pp. 68–120. Lawrence Erlbaum Associates, Mahwah (2006)Google Scholar
  56. 56.
    Kirlik, A.: Ecological resources for modeling embedded cognition and interactive behavior. In: Gray, W. (ed.) Integrated Models of Cognitive Systems, pp. 194–210. Oxford University Press, New York (2007)Google Scholar
  57. 57.
    Kirlik, A.: Brunswikian resources for event perception research. Perception 38(3), 376–398 (2009)CrossRefGoogle Scholar
  58. 58.
    Koffka, K.: Principles of Gestalt Psychology. Brace and World, Harcourt (1935)Google Scholar
  59. 59.
    Krampen, M.: Symbols in graphic communication. Design Quarterly 62, 1–31 (1965)CrossRefGoogle Scholar
  60. 60.
    Kripopendorff, K.: The Semantic Turn: A New Foundation for Design. Taylor and Francis, London (2006)Google Scholar
  61. 61.
    Lakoff, G., Johnson, M.: Philosophy in the Flesh. Basic Books, New York (1999)Google Scholar
  62. 62.
    Lausen, M.: Design for Democracy: Ballot and Election Design. University of Chicago Press, Chicago (2007)Google Scholar
  63. 63.
    Lausen, M.: Designing change. Design matters. Univeristy of Illinois, Urbana Champaign (2009), (Retrieved, June 24, 2009)Google Scholar
  64. 64.
    Todd, P.M.: Fast and frugal heuristics for environmentally bounded minds. In: Gigerenzer, G., Selten, G. (eds.) Bounded Rationality: The Adaptive Toolbox, pp. 51–70. MIT Press, Cambridge (2002)Google Scholar
  65. 65.
    Magnani, L., Nersessian, N.J., Thagard, P. (eds.): Model-Based Reasoning in Scientific Discovery. Kluwer Academic/Plenum Publishers, New York (1980)Google Scholar
  66. 66.
    Maier, M.: Basic Design Principles: The Foundation Program at the School of Design. Van Nostrand Reinhold Publishers, Basel (1977)Google Scholar
  67. 67.
    Maldonado, T.: Nature, Design and Revolution: Toward a Critical Ecology. Harper & Row, New York (1972)Google Scholar
  68. 68.
    Maldonado, T., Bonsiepe, G.: Science and design. ULM 10/11, 10–16 (1965)Google Scholar
  69. 69.
    Manning, A., Amare, N.: Visual-rhetoric ethics: Beyond accuracy and injury. Technical Communications 53(2), 195–211 (2006)Google Scholar
  70. 70.
    Marcus, A.: m-locos ui: A universal visible language for global mobile communication. In: Jacko, J.A. (ed.) HCI 2007. LNCS, vol. 4552, pp. 144–153. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  71. 71.
    Michaels, C.F., Carello, C.: Direct Perception. Prentice-Hall, Englewood Cliffs (1981)Google Scholar
  72. 72.
    Moles, A.: The legibility of the world: A project of graphic design. Design Issues 3(1), 43–53 (1986)CrossRefMathSciNetGoogle Scholar
  73. 73.
    Morris, C.: Foundations of the Theory of Signs. University of Chicago Press, Chicago (1938)Google Scholar
  74. 74.
    Neurath, M.: Isotype. Instructional Science 3(2), 127–150 (1974)CrossRefGoogle Scholar
  75. 75.
    Neurath, O.: BASIC by Isotype. Kegan Paul, Trench, Trubner & Co., New York (1937)Google Scholar
  76. 76.
    Ockerse, T., van Dijk, H.: Semiotics and graphic design education. Visible Language 13(4), 358–378 (1979)Google Scholar
  77. 77.
    de Oliveira, O., Baranauskas, M.: Semiotics as a basis for educational software design. British Journal of Educational Technology 31(2), 153–161 (2000)CrossRefGoogle Scholar
  78. 78.
    Thagard, P.: Coherence in Thought and Action. MIT Press, Cambridge (2002)Google Scholar
  79. 79.
    Peirce, C.: Logic. In: Hartshorne, C., Weiss, P. (eds.) The Collected Papers of Charles Sanders Peirce, vol. I-II. Harvard University Press, Cambridge (1933)Google Scholar
  80. 80.
    Peirce, C.: Pragmatism and pragmaticism. In: Hartshorne, C., Weiss, P. (eds.) The Collected Papers of Charles Sanders Peirce, vol. V. Harvard University Press, Cambridge (1933)Google Scholar
  81. 81.
    Peirce, C.: The simplest mathematics. In: Hartshorne, C., Weiss, P. (eds.) The Collected Papers of Charles Sanders Peirce, vol. V. Harvard University Press, Cambridge (1933)Google Scholar
  82. 82.
    Polanyi, M.: The Tacit Dimension. Routledge & Kegan Paul, London (1966)Google Scholar
  83. 83.
    Ramachandran, S.: Purple numbers and sharp cheese (2003),, BBC Reith Lectures 2003: The Emerging Mind. BBC Radio 4. (Retrieved June 1, 2009)
  84. 84.
    Ramachandran, V., Hubbard, E.: Synesthesia: What does it tell us about the emergence of qualia, metaphor, abstract thought, and language? In: van Hemmen, J., Sejnowski, T. (eds.) 23 Problems in Systems Neuroscience, pp. 432–473. Oxford University Press, Oxford (2006)CrossRefGoogle Scholar
  85. 85.
    Ramachandran, V., Hubbard, E., Butcher, P.: Synesthesia, cross-activation and the foundations of neuroepistemology. In: Robertson, L., Sagiv, N. (eds.) Synesthesia: Perspectives from cognitive neuroscience, pp. 147–190. Oxford University Press, Oxford (2004)Google Scholar
  86. 86.
    Rothrock, L., Kirlik, A.: Inferring rule-based strategies in dynamic judgment tasks. IEEE Transactions on Systems, Man, and Cybernetics: Part A: Systems and Humans 33(1), 58–72 (2003)CrossRefGoogle Scholar
  87. 87.
    Rust, C.: Unstated contributions – how artistic inquiry can inform interdisciplinary research. International Journal of Design 1(3), 69–76 (2008)MathSciNetGoogle Scholar
  88. 88.
    Saussure, F.: Course in General Linguistics. In: Baskin (Tr), E., Bally, C., Reidlinger, A. (eds.) Philosophical Library (1966)Google Scholar
  89. 89.
    Simon, H.: Models of Man. Wiley and Sons, New York (1957)zbMATHGoogle Scholar
  90. 90.
    Skaggs, S.: Introduction. Zed 4, 8–9 (1997)Google Scholar
  91. 91.
    Skaggs, S., Shank, G.: Codification, inference and specificity in visual communication design. Zed 4, 54–59 (1997)Google Scholar
  92. 92.
    Sless, D.: Design philosophy. communication research institute of australia (2009), (Retrieved June 23, 2009)
  93. 93.
    STC: Stc ethical principles for commmunicators (1998),, Society for Technical Communication (Retrieved July 5, 2009)
  94. 94.
    Stjernfeldt, F.: Diagrammatology: An Investigation on the Borderlines of Phenomenology, Ontology, and Semiotics. Springer, Berlin (2007)Google Scholar
  95. 95.
    Storkerson, P.: Is disciplinary research possible in communication design? Design Research Quarterly 3(2), 1–8 (2008), (Retrieved, July 15, 2009)Google Scholar
  96. 96.
    Suppes, P.: Models of data. In: Nagel, E., Suppes, P., Tarski, A. (eds.) Logic, Methodology, and Philosophy of Science: Proceedings of the 1960 International Congress, pp. 252–161 (1960)Google Scholar
  97. 97.
    Tolman, E.: Purposive Behavior in Man and Animals. University of California Press, Berkeley (1951)Google Scholar
  98. 98.
    Tolman, E.C., Brunswik, E.: The organism and the causal texture of the environment. Psychological Review 43, 43–77 (1935)CrossRefGoogle Scholar
  99. 99.
    Tucker, L.R.: A suggested alternative formulation in the developments of Hursch, Hammond, and Hursch, and Hursch, Hammond & Todd. Psychological Review 71(6), 528–530 (1964)CrossRefGoogle Scholar
  100. 100.
    Vicente, K.J.: Beyond the lens model and direct perception: Toward a broader ecological psychology. Ecological Psychology 15, 241–267 (2003)CrossRefGoogle Scholar
  101. 101.
    Vorms, M.: The theoretician’s gambits: Scientific representations, their formats and content. In: SCI, vol. 314. Springer, Heidelberg (2010)Google Scholar
  102. 102.
    Wertheimer, M.: Principles of perceptual organization. In: Wertheimer, M., Beardslee, M. (eds.) Readings in Perception, pp. 115–135. Van Nostrand, Princeton (1958)Google Scholar
  103. 103.
    Winkler, D.: Design practice and education: Moving beyond the Bauhaus model. In: Frascara, J. (ed.) User-centered Graphic Design: Mass Communications and Social Change, pp. 129–135. Taylor & Francis, London (1997)Google Scholar
  104. 104.
    Winn, W., Hoffman, H., Osberg, K.: Semiotics, cognitive theory and the design of objects, actions and interactions in virtual environments. Journal of Structure, Learning and Intelligent Systems 14(1), 29–49 (1999)Google Scholar

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© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Alex Kirlik
    • 1
  • Peter Storkerson
    • 1
  1. 1.University of Illinois at Urbana-Champaign 

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