Computational Model of the Mind: How to Think About Complex Systems in Nature

Bibliographic References

• Harvey B, Garcia D, Barnes T, Titterton N, Armendariz D, Segars L, Paley J (2013) Snap! (build your own blocks). In: Proceeding of the 44th ACM technical symposium on computer science education, pp 759–759
• Kahn KM, Megasari R, Piantari E, Junaeti E (2018) AI programming by children using snap! block programming in a developing country, vol 11082. Springer
• Resnick M, Maloney J, Monroy-Hernández A, Rusk N, Eastmond E, Brennan K, Kafai Y (2009) Scratch: programming for all. Commun ACM 52(11):60–67
• Maloney J, Resnick M, Rusk N, Silverman B, Eastmond E (2010) The scratch programming language and environment. ACM Trans Comput Educ (TOCE) 10(4):1–15
• Morrison J (2006) Attributes of STEM education: the student, the school, the classroom. TIES (Teaching Institute for Excellence in STEM) 20:2–7
• Byhee B (2010) Advancing STEM education: a 2020 vision. Technol Eng Teacher 70(1):30–35
• Kim SW, Chung YL, Woo AJ, Lee HJ (2012) Development of a theoretical model for STEAM education. J Korean Assoc Sci Educ 32(2):388–401
• Sousa DA, Pilecki T (2013) From STEM to STEAM: using brain-compatible strategies to integrate the arts. Corwin Press
• Olabe JC, Basogain X, Olabe MA (2019) An ontology of computational STEAM: the role of educational technology. Nova Science Publishers, New York, A Closer Look at Educational, pp 1–27
• Turing AM (1936) On computable numbers, with an application to the Entscheidungsproblem. J Math 58(345–363):5
• Shannon C (1948) Inform Theory 3:224
• Putnam H (1967) Psychophysical predicates. In: Capitan W, Merrill D (eds) Art, mind, and religion. University of Pittsburgh Press. Reprinted in Putnam 1975 as The Nature of Mental States, pp 429–440
• O’Malley MA, Powell A, Davies JF, Calvert J (2008) Knowledge-making distinctions in synthetic biology. BioEssays 30(1):57–65
• Nordmann A (2015) Synthetic biology at the limits of science. In: Synthetic biology. Springer, Cham, pp 31–58
• Bargmann CI, Hartwieg E, Horvitz HR (1993) Odorant-selective genes and neurons mediate olfaction in C. elegans. Cell 74(3):515–527
• Gray JM, Hill JJ, Bargmann CI (2005) A circuit for navigation in Caenorhabditis elegans. Proc Natl Acad Sci 102(9):3184–3191
• Tian L, Hires SA, Mao T, Huber D, Chiappe ME, Chalasani SH, Bargmann CI (2009) Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators. Nat Methods 6(12):875–881
• Kimura A, Onami S (2005) Computer simulations and image processing reveal length-dependent pulling force as the primary mechanism for C. elegans male pronuclear migration. Devel Cell 8(5):765–775
• Korta J, Clark DA, Gabel CV, Mahadevan L, Samuel AD (2007) Mechanosensation and mechanical load modulate the locomotory gait of swimming C. elegans. J Exp Biol 210(13):2383–2389
• Pierce-Shimomura JT, Chen BL, Mun JJ, Ho R, Sarkis R, McIntire SL (2008) Genetic analysis of crawling and swimming locomotory patterns in C. elegans. Proc Nat Acad Sci 105(52):20982–20987
• Restif C, Ibáñez-Ventoso C, Vora MM, Guo S, Metaxas D, Driscoll M (2014) CeleST: computer vision software for quantitative analysis of C. elegans swim behavior reveals novel features of locomotion. PLoS Comput Biol 10(7):e1003702
• Li C, Zhang X, Cao Z (2005) Triangular and Fibonacci number patterns driven by stress on core/shell microstructures. Science 309(5736):909–911
• Cooke TJ (2006) Do Fibonacci numbers reveal the involvement of geometrical imperatives or biological interactions in phyllotaxis? Bot J Linn Soc 150(1):3–24
• Swinbank R, James Purser R (2006) Fibonacci grids: a novel approach to global modelling. Quart J R Meteorol Soc J Atmos Sci Appl Meteorol Phys Oceanogr 132(619):1769–1793
• Vary A (2016) Fibonacci sunflowers, mathematical objects & cubic electrons. Prespacetime J 7(11)
• Swinton J, Ochu E, MSI Turing’s Sunflower Consortium (2016) Novel Fibonacci and non-Fibonacci structure in the sunflower: results of a citizen science experiment. R Society Open Sci 3(5):160091
• Kahneman D (2011) Thinking, fast and slow. Macmillan
• Dennett DC (2013) Intuition pumps and other tools for thinking. WW Norton & Company
• Akhtaruzzaman M, Shafie A (2011) Geometrical substantiation of Phi, the golden ratio and the baroque of nature, architecture, design and engineering. Int J Arts 1(1):1–22
• Bejan A (2009) The golden ratio predicted: vision, cognition and locomotion as a single design in nature. Int J Design Nature Ecodyn 4(2):97–104
• Heyrovská R (2009) The golden ratio in the creations of nature arises in the architecture of atoms and ions. In: Innovations in chemical biology. Springer, Dordrecht, pp 133–139
• Karban R, Black CA, Weinbaum SA (2000) How 17-year cicadas keep track of time. Ecol Lett 3(4):253–256
• Alexander RD, Moore TE (1962) The evolutionary relationships of 17-year and 13-year cicadas, and three new species (Homoptera, Cicadidae, Magicicada)
• Reluga TC (2010) Game theory of social distancing in response to an epidemic. PLoS Comput Biol 6(5):e1000793
• Greenstone M, Nigam V (2020) Does social distancing matter? University of Chicago, Becker Friedman Institute for Economics Working Paper (2020–2026)
• Caley P, Philp DJ, McCracken K (2008) Quantifying social distancing arising from pandemic influenza. J R Soc Interf 5(23):631–639
• Kelso JK, Milne GJ, Kelly H (2009) Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza. BMC Public Health 9(1):117
• Lewnard JA, Lo NC (2020) Scientific and ethical basis for social-distancing interventions against COVID-19. Lancet Infect Dis 20(6):631
• Basogain X, Gurba K, Hug T, Morze N, Noskova T, Smyrnova-Trybulska E: (2020) STEM and STEAM in contemporary education: challenges, contemporary trends and transformation: a discussion paper