Synthetic collective intelligence

BioSystems

Volumn 148, Issue , 2016, Pages 47-61

  Solé, Ricard ^a,b,c   Amor, Daniel R ^a,b   Duran Nebreda, Salva ^a,b   Conde Pueyo, Núria ^a,b   Carbonell Ballestero, Max ^a,b   Montañez, Raúl ^a,b  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b INSTITUTE OF EVOLUTIONARY BIOLOGY CSIC UNIVERSITAT POMPEU FABRA   (Spain)

^c SANTA FE INSTITUTE   (United States)

Author keywords

Cellular machines; Evolution; Social insects; Swarm intelligence; Synthetic biology

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOSPHERE; COMPLEXITY; COMPUTER SIMULATION; DECISION MAKING; EVOLUTIONARY BIOLOGY; GENETIC ENGINEERING; HUMAN EVOLUTION; SOCIAL IMPACT;

CONSENSUS DEVELOPMENT; DECISION MAKING; GENETIC ENGINEERING; HUMAN; INSECT SOCIETY; INTELLIGENCE; MEMORY; ROBOTICS; STIMULUS; TEAMWORK; ALGORITHM; ANIMAL; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; COMPUTER SIMULATION; INTERPERSONAL COMMUNICATION; PHYSIOLOGY; PROCEDURES; SOCIAL BEHAVIOR; SYNTHETIC BIOLOGY;

HEXAPODA;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; COMMUNICATION; COMPUTER SIMULATION; DECISION MAKING; HUMANS; INTELLIGENCE; MODELS, BIOLOGICAL; SOCIAL BEHAVIOR; SYNTHETIC BIOLOGY;

EID: 84978633766     PISSN: 03032647     EISSN: 18728324     Source Type: Journal    
DOI: 10.1016/j.biosystems.2016.01.002     Document Type: Article

References (70)

1. Alberch, P., The logic of monsters: evidence for internal constraint in development and evolution. Geobios 22 (1989), 21–57.
2. Alberts, B., Johnson, A., Lewis, J., Raff, M., Roberts, K., Walter, P., Molecular Biology of the Cell. 4th ed., 2002, Garland Science, New York.
3. Beckers, R., Deneubourg, J.L., Goss, S., Modulation of trail laying in the ant Lasius niger (Hymenoptera: Formicidae) and its role in the collective selection of a food source. J. Insect Behav. 6 (1993), 751–759.
4. Beekman, M., Sumpter, D.J.T., Ratnieks, F.L.W., Phase transition between disordered and ordered foraging in Pharaoh's ants. Proc. Natl. Acad. Sci. U. S. A. 98 (2001), 9703–9706.
5. Ben-Jacob, E., Learning from bacteria. N. Y. Acad. Sci. 1178 (2009), 78–90.
6. Bonabeau, E., Theraulaz, G., Deneubourg, J.L., Mathematical model of self-organizing hierarchies in animal societies. Bull. Math. Biol. 58 (1996), 661–717.
7. Bonabeau, E., Theraulaz, G., Deneubourg, J.L., Quantitative study of the fixed threshold model for the regulation of division of labour in insect societies. Proc. R. Soc. Lond. B 263 (1996), 1565–1569.
8. Bonabeau, E., Dorigo, M., Theraulaz, G., Swarm Intelligence: From Natural to Artificial Systems. 1999, Oxford University Press.
9. Camazine, S., Deneubourg, J-L., Franks, N.R., Sneyd, J., Theraulaz, G., Bonabeau, E., Self-Organization in Biological Systems. 2003, Princeton U Press, Princeton.
10. Carbonell-Ballestero, M., Duran-Nebreda, S., Montańez, R., Solé, R., Macía, J., Rodríguez-Caso, C., A bottom-up characterization of transfer functions for synthetic biology designs: lessons from enzymology. Nucleic Acids Res. 42 (2014), 14060–14069.
11. Cole, B.J., Short-term activity cycles in ants: generation of periodicity by worker interaction. Am. Nat. 137 (1991), 244–259.
12. Cole, B.J., Is animal behaviour chaotic? Evidence from the activity of ants. Proc. R. Soc. Lond. B 244 (1991), 253–259.
13. Cole, B.J., Short-term activity cycles in ants: a phase response curve and phase resetting in worker activity. J. Insect Behav. 4 (1991), 129–137.
14. Crutchfield, J.P., Mitchell, M., The evolution of emergent computation. PNAS, 92(23), 1995, 10742.
15. Danino, T., Mondragón-Palomino, O., Tsimring, L., Hasty, J., A synchronized quorum of genetic clocks. Nature 463 (2010), 326–330.
16. Davies, D.G., Parsek, M.R., Pearson, J.P., Iglewski, B.H., Costerton, J.W., Greenberg, E.P., The involvement of cell-to-cell signals in the development of a bacterial biofilm. Science 280 (1998), 295–298.
17. Delcour, A.H., Electrophysiology in bacteria. Annu. Rev. Microbiol. 67 (2013), 179–197.
18. Delgado, J., Solé, R.V., Self-synchronization and task fulfilment in ant colonies. J. Theor. Biol. 205 (2000), 433–441.
19. Deneubourg, J.-L., Aron, S., Goss, S., Pasteels, J.M., The self-organizing exploratory pattern of the argentine ant. J. Insect Behav. 3:2 (1990), 159–168.
20. Deneubourg, J.L., Pasteels, J.M., Verhaeghe, J.C., Probabilistic behaviour in ants: a strategy of errors. J. Theor. Biol. 105 (1983), 259–271.
21. Deneubourg, J.L., Goss, S., Collective patterns and decision-making. Ethol. Ecol. Evol. 1 (1989), 295–311.
22. Deneubourg, J.L., Goss, S., Franks, N., Pasteels, J.M., The blind leading the blind: modeling chemically mediated army ant raid patterns. J. Insect Behav. 2 (1989), 719–725.
23. Detrain, C., Deneubourg, J.L., Self-organised structures in a superorganism: do ants behave like molecules?. Phys. Life Rev. 3 (2006), 162–187.
24. Detrain, C., Pasteels, J.M., Caste differences in behavioral thresholds as a basis for polyethism during food recruitment in the ant,Pheidole pallidula (Nyl.) (Hymenoptera: Myrmicinae). J. Insect Behav. 4:2 (1991), 157–176.
25. Detrain, C., Pasteels, J.M., Caste polyethism and collective defense in the ant Pheidole pallidula: the outcome of quantitative differences in recruitment. Behav. Ecol. Sociobiol. 29 (1992), 405–412.
26. Dill, K.A., Bromberg, S., Molecular Driving Forces: Statistical Thermodynamics in Biology, Chemistry, Physics, and Nanoscience Garland Science. 2011, New York.
27. Franks, N.R., Bryant, S., Rhythmical patterns of activity within the nests of ants. Eder, J., Rembold, A., (eds.) Chemistry and Biology of Social Insects, 1987, Springer, 122–123.
28. Franks, N.R., Bryant, S., Griffiths, R., Hemerik, L., Synchronisation of the behaviour within nest of the ant Leptothorax acervorum. (Fabricius). I. Discovering the phenomenon and its relation to the level of starvation. Bull. Math. Biol. 52 (1990), 597–612.
29. Garnier, S., Gautrais, J., Theraulaz, G., The biological principles of swarm intelligence. Swarm Intell. 1 (2007), 3–31.
30. González, J.E., Marketon, M.M., Quorum sensing in nitrogen-fixing rhizobia. Microbiol. Mol. Biol. Rev. 67:4 (2003), 574–592.
31. Gordon, D.M., Goodwin, B.C., Trainor, L.E.H., A parallel distributed model of the behaviour of ant colonies. J. Theor. Biol. 156 (1991), 293–307.
32. Gordon, D., Ants at Work. 1999, Free Press, New York.
33. Gordon, D., Ant Encounters: Interaction Networks and Colony Behavior. 2010, Princeton U Press, New Jersey.
34. Goryachev, A.B., Design principles of the bacterial quorum sensing gene networks. Wiley Interdiscip. Rev. Syst. Biol. Med. 1:1 (2009), 45–60.
35. Haken, H., Information and Self-organisation. 2010, Springer, Berlin.
36. Hofstadter, D.R., Gödel, Escher, Back. 1979, Basic Books, New York.
37. Hölldobler, B., Wilson, E.O., The Super-organism: The Beauty, Elegance and Strangeness of Insect Societies. 2008, Norton, New York.
38. Hopfield, J.J., Physics, computation and why biology looks so different. J. Theor. Biol. 171 (1994), 53–60.
39. Jablonka, E., Lamb, M.J., The evolution of information in the major transitions. J. Theor. Biol. 239 (2006), 236–246.
40. Jang, S.S., Oishi, K.T., Egbert, R.G., Klavins, E., Specification and simulation of multicelled behaviors. ACS Synth. Biol. 1:8 (2012), 365–374.
41. Jones, S., Yu, B., Bainton, N.J., Birdsall, M., Bycroft, B.W., Chhabra, S.R., Cox, A.J., Golby, P., Reeves, P.J., Stephens, S., The lux autoinducer regulates the production of exoenzyme virulence determinants in Erwinia carotovora and Pseudomonas aeruginosa. EMBO J. 12:6 (1993), 2477–2482.
42. Lambert, G., Kussell, E., Memory and fitness optimization of bacteria under fluctuating environments. PLoS Genet., 10(9), 2014, e1004556.
43. Legg, S., Hutter, M., A formal measure of machine intelligence. In: Proc. 15th Annual Machine Learning Conference of Belgium and The Netherlands, 2006, 73–80.
44. Miller, M.B., Bassler, B.L., Quorum sensing in bacteria. Annu. Rev. Microbiol. 55 (2001), 165–199.
45. Millonas, M., Swarms, phase transitions, and collective intelligence. Langton, C., (eds.) Artificial Life III, 1993, Addison-Wesley, Reading, MA.
46. Miramontes, O., Order-disorder transitions in the behavior of ant societies. Complexity 1 (1995), 56–60.
47. Mitchell, M., Crutchfield, P., Hraber, P.T., Evolving cellular automata to perform computations: Mechanisms and impediments. Physica D 75 (1994), 361–391.
48. Nicolis, S.C., Deneubourg, J.-L., Emerging patterns and food recruitment in ants: an analytical study. J. Theor. Biol. 198:4 (1999), 575–592.
49. Prindle, A., Liu, J., Asally, M., et al. Ion channels enable electrical communication in bacterial communities. Nature 527 (2015), 59–63.
50. Prigogine, I., Stengers, I., Order Out of Chaos: Man's New Dialogue with Nature. 1984, Bantam Books, New York.
51. Raser, J.M., O'Shea, E.K., Noise in gene expression: origins, consequences, and control. Science 309 (2005), 2010–2013.
52. Reid, C.R., Garnier, S., Beekman, M., Latty, T., Information integration and mul- tiattribute decision making in non-neuronal organisms. Anim. Behav. 100 (2015), 44–50.
53. Robinson, G.E., Regulation of division of labor in insect societies. Ann. Rev. Entomol. 37 (1992), 637–702.
54. Rose, S., The Future of the Brain. 2005, Oxford U Press, Oxford, UK.
55. Solé, R.V., Miramontes, O., Goodwin, B.C., Oscillations and chaos in ant societies. J. Theor. Biol. 161 (1993), 343–357.
56. Solé, R.V., Goodwin, B.C., Signs of Life: How Complexity Pervades Biology. 2001, Basic Books, New York.
57. Solé, R.V., Phase Transitions. 2011, Princeton U. Press, Princeton.
58. Solé, R.V., Bioengineering the biosphere?. Ecol. Complex. 22 (2015), 40–49.
59. Solé, R.V., Montańez, R., Duran-Nebreda, S., Synthetic circuit designs for earth terraformation. Biol. Direct, 10, 2015, 37.
60. Sternberg, R.J., Handbook of Intelligence. 2000, Cambrige University Press.
61. Strocchi, F., Symmetry Breaking. 2005, Springer, Berlin.
62. Strogatz, S., Nonlinear Dynamics and Chaos. 1994, Addison Wesley, New York.
63. Strogatz, S., SYNC. The Emerging Science of Spontaneous Order. 2003, Hyperion Books, New York.
64. Sumpter, D., The principles of collective animal behaviour. Phil. Trans. R. Soc. Lond. B 361 (2006), 5–22.
65. Theraulaz, G., Bonabeau, E., Deneubourg, J.L., Response threshold reinforcement and division of labour in insect societies. Proc. R. Soc. Lond. B 265 (1998), 327–332.
66. Vladimirov, N., Sourjik, V., Chemotaxis: how bacteria use memory. Biol. Chem. 390:11 (2009), 1097–1104.
67. Waters, C.M., Bassler, B.L., Quorum sensing: cell-to-cell communication in bacteria. Annu. Rev. Cell. Dev. Biol. 21 (2005), 319–346.
68. Williams, P., Winzer, K., Chan, W.C., Cámara, M., Look who's talking: communication and quorum sensing in the bacterial world. Philos. Trans. R. Soc. B 362 (2014), 1119–1134.
69. Wilson, E.O., The relation between caste ratios and division of labour in the ant genus Pheidole (Hymenoptera: Formicidae). Behav. Ecol. Sociobiol. 16 (1984), 89–98.
70. Wu, F., Menn, D.J., Wang, X., Quorum-sensing crosstalk-driven synthetic circuits: from unimodality to trimodality. Chem. Biol. 21:12 (2014), 1629–1638.