Abstract
Large sets of elements interacting locally and producing specific architectures reliably form a category that transcends the usual dividing line between biological and engineered systems. We propose to call them morphogenetically architected complex systems (MACS). While taking the emergence of properties seriously, the notion of MACS enables at the same time the design (or “meta-design”) of operational means that allow controlling and even, paradoxically, programming this emergence. To demonstrate our claim, we first show that among all the self-organized systems studied in the field of Artificial Life, the specificity of MACS essentially lies in the close relation between their emergent properties and functional properties. Second, we argue that to be a MACS a system does not need to display more than weak emergent properties. Third, since the notion of weak emergence is based on the possibility of simulation, whether computational or mechanistic via machines, we see MACS as good candidates to help design artificial self-architected systems (such as robotic swarms) but also harness and redesign living ones (such as synthetic bacterial films).
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References
Ball P (1999) The self-made tapestry: pattern formation in nature. Oxford Univ Press, Oxford
Beal J (2011) Functional blueprints: an approach to modularity in grown systems. Swarm Intell 5:257–281
Bedau MA (1997) Weak emergence. Noûs 31:375–399
Bedau MA (1999) Can unrealistic computer models illuminate theoretical biology? In: Proceedings of the 1999 International Genetic and Evolutionary Computation Conference (GECCO 1999), pp 20–23
Bedau MA (2002) Downward causation and the autonomy of weak emergence. Principia 6:5–50
Bonabeau E et al (1998) A model for the emergence of pillars, walls and royal chambers in termite nests. Philos Trans R Soc B 353:1561–1576
Brodu N (2009) A synthesis and a practical approach to complex systems. Complexity 15:36–60
Camazine S et al (2003) Self-organization in biological systems. Princeton Univ Press, Princeton
Castro-González C et al (2014) A digital framework to build, visualize and analyze a gene expression atlas with cellular resolution in zebrafish early embryogenesis. Plos Comput Biol 10(e1003):670
Crutchfield JP (1994) The calculi of emergence: computation, dynamics and induction. Phys D 75:11–54
Delile J, Doursat R, Peyriéras N (2013) Computational modeling and simulation of animal early embryogenesis with the MecaGen platform. In: Computational systems biology 2. Academic Press, London, pp 359–405
Dill KA, MacCallum JL (2012) The protein-folding problem, 50 years on. Science 338(6110):1042–1046
Dorigo M et al (2013) Swarmanoid: a novel concept for the study of heterogeneous robotic swarms. IEEE Robot Autom Mag 20:60–71
Doursat R (2008) Organically grown architectures: creating decentralized, autonomous systems by embryomorphic engineering. In: Organic computing. Springer, Berlin, pp 167–199
Doursat R, Sánchez C (2014) Growing fine-grained multicellular robots. Soft Robot 1:110–121
Doursat R, Sayama H, Michel O (2009) Proceedings of the 1st international morphogenetic engineering workshop (MEW 2009). http://iscpif.fr/mew2009
Doursat R, Sayama H, Michel O (2013) A review of morphogenetic engineering. Nat Comput 12:517–535
Dowek G (2011) Proofs and algorithms: an introduction to logic and computability. Springer, Berlin
Giavitto JL, Michel O (2002) The topological structures of membrane computing. Fund Inf 49:123–145
Godfrey-Smith P (2004) Genes do not encode information for phenotypic traits. In: Contemporary debates in philosophy of science. Blackwell Publishing, Oxford, pp 275–289
Holland JH (2012) Signals and boundaries: building blocks for complex adaptive systems. MIT Press, Cambridge
Humphreys P (1997) How properties emerge. Philos Sci 64:1–17
Huneman P (2008a) Emergence and adaptation. Minds Mach 18:493–520
Huneman P (2008b) Emergence made ontological? computational versus combinatorial approaches. Philos Sci 75:595–607
Kim J (1999) Making sense of emergence. Philos Stud 95:3–36
Kube CR, Zhang H (1993) Collective robotics: from social insects to robots. Adapt Behav 2:189–218
Ladyman J, Lambert J, Wiesner K (2013) What is a complex system? Eur J Philos Sci 3:33–67
Langton CG (1989) Artificial life. Addison-Wesley, Reading
Millikan RG (1984) Language, thought and other biological categories. MIT Press, Cambridge
O’Grady R, Christensen AL, Dorigo M (2009) SWARMORPH: multirobot morphogenesis using directional self-assembly. IEEE Trans Robot 25:738–743
Pascalie J et al. (2015) Spatial computing in synthetic bioware. In: Proceedings of the European Conference on Artificial Life (ECAL 2015)
Pattee H (1995) Evolving self-reference: matter, symbols and semantic closure. Commun Cognit 12:9–27
Petitot J (2003) Modèles de structures émergentes dans les systèmes complexes. In: Proceedings of the annual meeting of the International Academy of the Philosophy of Science, pp 57–71
Petitot J (2011) The morphogenetic models of René Thom. In: Morphogenesis. Springer, Berlin, pp 273–281
Petitot J (2013) Complexity and self-organization in Turing. In: The legacy of A.M. Turing. Franco Angeli, Milano, pp 149–182
Peyriéras N (2011) Animal morphogenesis. In: Morphogenesis. Springer, Berlin, pp 167–188
Sartenaer O (2014) Synchronic vs. diachronic emergence: a reappraisal. Eur J Philos Sci 5:31–54
Sayama H (2014) Four classes of morphogenetic collective systems. In: Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems (ALife XIV), pp 105–114
Shalizi CR (2006) Methods and techniques of complex systems science: an overview. In: Complex systems science in biomedicine. Springer, Berlin, pp 33–114
Thom R (1994) Structural stability and morphogenesis. Advanced books classics. Westview Press, Boulder
Thompson P (2006) A role for mathematical models in formalizing self-organizing systems. In: Self-organization and emergence in life sciences. Springer, Berlin, pp 301–313
Turing AM (1952) The chemical basis of morphogenesis. Philos Trans R Soc B 237:37–72
Turner JS (2000) The extended organism: the physiology of animal-built structures. Harvard Univ Press, Cambridge
Varenne F (2009) Models and simulations in the historical emergence of the science of complexity. In: From system complexity to emergent properties. Springer, Berlin, pp 3–21
Varenne F (2013) Chains of reference in computer simulations. Tech. Rep. WP-2013-51, FMSH Working Paper, http://www.fmsh.fr/en/c/4002
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Varenne, F., Chaigneau, P., Petitot, J. et al. Programming the Emergence in Morphogenetically Architected Complex Systems. Acta Biotheor 63, 295–308 (2015). https://doi.org/10.1007/s10441-015-9262-z
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DOI: https://doi.org/10.1007/s10441-015-9262-z