Abstract
We study cell behaviors in the complex situations: multiple locations of food were simultaneously given. An amoeba-like organism of true slime mold gathered at the multiple food locations while body shape made of tubular network was totally changed. Then only a few tubes connected all of food locations through a network shape. By taking the network shape of body, the plasmodium could meet its own physiological requirements: as fast absorption of nutrient as possible and sufficient circulation of chemical signals and nutrients through a whole body. Optimality of network shape was evaluated in relation to a combinatorial optimization problem. Here we reviewed the potential computational ability of problem-solving in the amoeba, which was much higher than we’d though. The main message of this article is that we had better to change our stupid opinion that an amoeba is stupid.
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References
Bray, D.: Wetware. Oxford University Press, Oxford (2009)
Nakagaki, T., Yamada, H., Tóth, Á.: Maze-solving by an amoeboid organism. Nature 407, 470 (2000)
Nakagaki, T., Yamada, H., Tóth, Á.: Path finding by tube morphogenesis in an amoeboid organism. Biophys. Chem. 92, 47–52 (2001)
Nakagaki, T., Yamada, H., Hara, M.: Smart network solutions in an amoeboid organism. Biophys. Chem. 107, 1–5 (2004)
Nakagaki, T., Kobayashi, R., Ueda, T., Nishiura, Y.: Obtaining multiple separate food sources: behavioral intelligence in the Physarum plasmodium. Proc. R. Soc. Lond. B 271, 2305–2310 (2004)
Nakagaki, T.: Smart behavior of true slime mold in labyrinth. Res. Microbiol. 152, 767–770 (2001)
Nakagaki, T., Guy, R.: Intelligent behaviors of amoeboid movement based on complex dynamics of soft matter. Soft Matter 4, 1–12 (2008)
Nakagaki, T., Tero, A., Kobayashi, R., Onishi, I., Miyaji, T.: Computational ability of cells based on cell dynamics and adaptability. New Generation Computing 27, 57–81 (2008)
Tero, A., Kobayashi, R., Nakagaki, T.: Mathematical model for adaptive transport network in path finding by true slime mold. J. Theor. Biol. 244, 553–564 (2007)
Tero, A., Kobayashi, R., Nakagaki, T.: Physarum solver -A biologically inspired method for road-network navigation. Physica A363, 115 (2006)
Nakagaki, T., Iima, M., Ueda, T., Nishiura, Y., Saigusa, T., Tero, A., Kobayashi, R., Showalter, K.: Minimum-risk path finding by an adaptive amoebal network. Phys. Rev. Lett. 99, 068104 (2007)
Tero, A., Yumiki, K., Kobayashi, R., Saigusa, T., Nakagaki, T.: Flow-network adaptation in Physarum amoebae. Theory in Biosciences 127, 89–94 (2008)
Tero, A., Nakagaki, T., Toyabe, K., Yumiki, K., Kobayashi, R.: A method inspired by Physarum for solving the Steiner problem. International Journal of Unconventional Computing (2009) (in press)
Tero, A., Takagi, T., Saigusa, T., Ito, K., Bebber, D.P., Fricker, M.D., Yumiki, Y., Kobayashi, R., Nakagaki, T.: Rules for biologically-inspired adaptive network design (submitted)
Nakagaki, T., Saigusa, T., Tero, A., Kobayashi, R.: Effects of food amount on path selection in transport network of an amoeboid organism. Topological Aspects of Critical Systems and Networks, 94–100 (2007)
Nakagaki, T., Yamada, H., Ueda, T.: Interaction between cell shape and contraction pattern. Biophys. Chem. 84, 195–204 (2000)
Kobayashi, R., Tero, A., Nakagaki, T.: Mathematical model for rhythmic amoeboid movement in the true slime mold. Journal of Mathematical Biology 53, 273–286 (2006)
Nakagaki, T., Yamada, H., Ueda, T.: Interaction between cell shape and contraction pattern. Biophys. Chem. 84, 195–204 (2000)
Miyaji, T., Ohnishi, I.: Mathematical analysis to an adaptive network of the Plasmodium system. Hokkaido Mathematical Journal 36, 445–465 (2007)
Miyaji, T., Ohnishi, I.: Physarum can solve the shortest path decision problem mathematically rigorously. International Journal of Pure and Applied Mathematics (in press)
Miyaji, T., Ohnishi, I., Tero, A., Nakagaki, T.: Failure to the shortest path decision of an adaptive transport network with double edges in Plasmodium system. International Journal of Dynamical Systems and Differential Equations 1, 210–219 (2008)
Saigusa, T., Tero, A., Nakagaki, T., Kuramoto, Y.: Amoebae anticipate periodic events. Physical Review Letters 100, 018101 (2008)
Takagi, S., Nishiura, Y., Nakagaki, T., Ueda, T., Ueda, K.: Indecisive behavior of amoeba crossing an environmental barrier. In: Proceedings of Int. Symp. on Topological Aspects of Critical Systems and Networks, pp. 86–93. World Scientific Publishing Co., Singapore (2007)
Trewavas, A.: Green plants as intelligent organisms. Trends Plant Sci. 10, 413–419 (2005)
Trewavas, A.: Aspects of plant intelligence. Annals Bot. 92, 1–20 (2003)
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Nakagaki, T. (2010). Foraging Behaviors and Potential Computational Ability of Problem-Solving in an Amoeba. In: Peper, F., Umeo, H., Matsui, N., Isokawa, T. (eds) Natural Computing. Proceedings in Information and Communications Technology, vol 2. Springer, Tokyo. https://doi.org/10.1007/978-4-431-53868-4_5
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DOI: https://doi.org/10.1007/978-4-431-53868-4_5
Publisher Name: Springer, Tokyo
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