Abstract
This chapter explores anticipation in agriculture through relational system analysis. It explains why the current trend of technological development in agriculture, creating land without farmers in developed countries and farmers without land in developing countries, is unsustainable. It starts out with a theoretical discussion on how relational system analysis can make a useful contribution to the analysis of the functioning of complex adaptive systems, such as social-ecological systems. Human societies belong to the special class of self-(re)producing and self-maintaining metabolic systems that depend on anticipation to preserve and adapt their identity in time. Anticipation is achieved through a semiotic process in which anticipative narratives associated with recorded information are used to guide action and tested for their validity. It is shown that anticipation requires the ability to establish, reproduce, and adapt a set of expected relations between functional (notional) and structural (physical) components of the metabolic system. The theoretical framework is used to identify the drivers of the evolutionary path of agriculture and explain why policies regulating its development have consistently failed to anticipate troubles. Finally, the analysis and explanation of what went wrong is used to reflect on required changes in the storytelling about agriculture for the future.
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References
Ahl, V., & Allen, T. F. H. (1996). Hierarchy theory. New York: Columbia University Press.
Allen, P. (1997). Cities and regions as self-organizing systems. Amsterdam: Gordon and Breach Science Publishers.
Allen, T. F. H., & Giampietro, M. (2006). Narratives and transdisciplines for a post-industrial world. Systems Research and Behavioral Science, 23, 1–21.
Allen, T., & Starr, T. (1982). Hierarchy: Perspectives for ecological complexity. Chicago: University of Chicago Press.
Brooks, D. R., Collier, J., Maurer, B. A., Smith, J. D. H., & Wiley, E. O. (1989). Entropy and information in evolving biological systems. Biology and Philosophy, 4, 407–432.
Cochrane, W. (1958). Farm prices: Myth and reality. Minneapolis: University of Minnesota Press.
Cooper, M. (2008). Life as surplus: Biotechnology and capitalism in the neoliberal Era. Seattle: University of Washington Press.
Dyke, C. (1988a). The evolutionary dynamics of complex systems: A study in biosocial complexity. New York: Oxford University Press.
Dyke, C. (1988b). Cities as dissipative structures. In B. H. Weber, D. J. Depew, & J. D. Smith (Eds.), Entropy, information and evolution: New perspectives on physical and biological evolution (pp. 355–367). Cambridge: MIT Press.
Emmeche, C. (1997). Defining life, explaining emergence. Available on line at: http://www.nbi.dk/~emmeche/cePubl/97e.defLife.v3f.html.
Eurostat. (2017). http://ec.europa.eu/eurostat/statistics-explained/index.php/Agricultural_census_in_the_Netherlands.
Funtowicz, S. O., & Ravetz, J. R. (1990). Uncertainty and quality in science policy. Dordrecht: Kulwer Academic Publishers.
Giampietro, M. (2009). The future of agriculture: GMOs and the agonizing paradigm of industrial agriculture. In A. Guimaraes Pereira & S. Funtowicz (Eds.), Science for policy: Challenges and opportunities (pp. 83–104). New Delhi: Oxford University Press.
Giampietro, M., & Mayumi, K. (2009). The biofuel delusion: The fallacy of large scale agro-biofuels production. London: Earthscan Research Edition. 320 pp.
Giampietro, M., Allen, T. F. H., & Mayumi, K. (2006). The epistemological predicament associated with purposive quantitative analysis. Ecological Complexity, 3(4), 307–327.
Giampietro, M., Mayumi, K., & Sorman, A. H. (2012). The metabolic pattern of societies: Where economists fall short. London: Routledge. 408 pp.
Glansdorff, P., & Prigogine, I. (1971). Thermodynamics theory of structure, stability and fluctuations. New York: Wiley.
Goedde, L., Fischer, J., Denis, N., Tanaka, M., Yamada, Y. (2016). Empowering Japanese Agriculture for Global Impact. McKinsey Japan Report, October 2016. Tokyo: McKinsey & Company.
González-López, R., & Giampietro, M. (2017). Multi-scale integrated analysis of charcoal production in complex social-ecological systems. Frontiers in Environmental Science, 5, article 54. https://doi.org/10.3389/fenvs.2017.00054.
Koestler, A. (1968). The ghost in the machine. New York: The MacMillan Co. 365p.
Koestler, A. (1969). Beyond atomism and holism–The concept of the holon. In A. Koestler & J. R. Smythies (Eds.), Beyond reductionism (pp. 192–232). London: Hutchinson.
Koestler, A. (1978). Janus: A summing up. London: Hutchinson.
Kull, K. (1999). Biosemiotics in the twentieth century: A view from biology. Semiotica, 127(1/4), 385–414. Available at: http://www.zbi.ee/~kalevi/bsxxfin.htm.
Lakoff, G. (2010). Why it matters how we frame the environment. Environmental Communication: A Journal of Nature and Culture, 4(1), 70–81.
Louie, A. H. (2009). More than life itself. Frankfurt: Ontos Verlag.
Louie, A. H. (2013). The reflection of life. Functional entailment and imminence in relational biology. New York: Springer.
Margalef, R. (1968). Perspectives in ecological theory. Chicago: University of Chicago Press.
Marshall, A. (1890). Principles of economics. London: Macmillan and Company.
Maturana, H. R., & Varela, F. J. (1980). Autopoiesis and cognition. The realization of the living. Dordrecht: D. Reidel.
McKinsey Global Institute. (2015). Debt and (not much) Deleveraging (February). http://www.mckinsey.com/insights/economic_studies/debt_and_not_much_deleveraging.
Millennium Ecosystem Assessment. (2005). Summary for decision makers. In Ecosystems and human well-being: Synthesis (pp. 1–24). Washington, DC: Island Press.
Nicolis, G., & Prigogine, I. (1977). Self-organization in nonequilibrium systems. New York: Wiley-Interscience.
Odum, H. T. (1971). Environment, power, and society. New York: Wiley-Interscience.
Odum, H. T. (1983). Systems ecology. New York: Wiley.
Patching, D. (1990). Practical soft systems analysis. Harlow, UK: Pearson Education Limited.
Pattee, H. H. (Ed.). (1973). Hierarchy theory. New York: George Braziller.
Pattee, H. H. (1995). Evolving self-reference: Matter, symbols and semantic closure. Communication and Cognition – Artificial intelligence 12 (1–2), 9–28.
Pattee, H. H. (2013). Epistemic, evolutionary, and physical conditions for biological information. Special issue on information in biosemiotics, Søren brier and cliff Joslyn, eds. Biosemiotics, 6(1), 9–31.
Peirce, C. S. (1931–36). In C. Hartshorne & P. Weiss (Eds.), The collected papers. Volumes 1–6. Cambridge, MA: Harvard University Press.
Pigou, A. (1920). Principles of welfare economics. London: Macmillan and Company.
Poli, R. (2017). Introducing anticipation. In Handbook of anticipation. Springer International Publishing.
Polimeni, J. M., Mayumi, K., Giampietro, M., & Alcott, B. (2008). The Jevons paradox and the myth of resource efficiency improvements (p. 200). London: Earthscan Research Edition.
Prigogine, I. (1978). From being to becoming. San Francisco: W.H. Freeman and company.
Prigogine, I., & Stengers, I. (1984). Order out of chaos. New York: Bantam Books.
Rashevsky, N. (1954). Topology and life: In search of general mathematical principles in biology and sociology. Bulletin of Mathematical Biophysics, 16, 317–348.
Rayner, S. (2012). Uncomfortable knowledge: The social construction of ignorance in science and environmental policy discourses. Economy and Society, 41(1), 107–125.
Rosen, R. (1958a). The representation of biological systems from the standpoint of the theory of categories. Bulletin of Mathematical Biophysics, 20, 317–341.
Rosen, R. (1958b). A relational theory of biological systems. Bulletin of Mathematical Biophysics 20(3), 245–260.
Rosen, R. (1977). Complexity as a system property. International Journal of General Systems, 3, 227–232.
Rosen, R. (1985). Anticipatory systems: Philosophical Mathematical and Methodological Foundations. New York: Pergamon Press.
Rosen, R. (1991). Life itself: A comprehensive inquiry into the nature, origin and fabrication of life (p. 285). New York: Columbia University Press.
Saltelli, A., & Giampietro, M. (2016). The fallacy of evidence-based policy. In Science on the verge (pp. 31–69). Tempe: Consortium for Science, Policy & Outcomes, Arizona State University. http://cspo.org/publication/the-rightful-place-of-science-science-on-the-verge/.
Saltelli, A., & Giampietro, M. (2017). What is wrong with evidence based policy, and how can it be improved? Futures, 91, 62. https://doi.org/10.1016/j.futures.2016.11.012.
Salthe, S. N. (1985). Evolving hierarchical systems: Their structure and representation. New York: Columbia University Press.
Schrödinger, E. (1967). What is life & mind and matter. London: Cambridge University Press.
Simon, H. A. (1962). The architecture of complexity. Proceedings of the American Philosophical Society, 106, 467–482.
von Uexküll, J. (1957). A stroll through the worlds of animals and Men: A picture book of invisible worlds. In C. H. Schiller (Ed. & Trans.), Instinctive behavior: The development of a modern concept (pp. 5–80). New York: International Universities Press, Inc.
Von Schilling, C., & Straussfogel, D. (2008). Introducing the research. Entropy debt: a link to sustainability? In: Proceedings of the 52nd Annual Meeting of the International Society for the Systems Sciences (ISSS), University of Wisconsin, Madison (WI), USA, 13-18.
Weber, B. H., Depew, D. J., & Smith, J. D. (Eds.). (1988). Entropy, information and evolution: New perspectives on physical and biological evolution. Cambridge: MIT Press.
Whyte, L. L., Wilson, A. G., & Wilson, D. (Eds.). (1969). Hierarchical Structures. New York: American Elsevier Publishing Company, Inc.
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Giampietro, M. (2018). Anticipation in Agriculture. In: Poli, R. (eds) Handbook of Anticipation. Springer, Cham. https://doi.org/10.1007/978-3-319-31737-3_23-1
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