Section: Network Science
Topic: Sociology, Political sciences

Improving human collective decision-making through animal and artificial intelligence

10.24072/pcjournal.31 - Peer Community Journal, Volume 1 (2021), article no. e59.

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Whilst fundamental to human societies, collective decision-making such as voting systems can lead to non-efficient decisions, as past climate policies demonstrate. Current systems are harshly criticised for the way they consider voters needs and knowledge. Collective decision-making is central in human societies but also occurs in animal groups mostly when animals need to choose when and where to move. In these societies, animals balance between the needs of the group members and their own needs and rely on each individuals (partial) knowledge. We argue that non-human animals and humans share similar collective decision processes, among which are agenda-setting, deliberation and voting. Recent works in artificial intelligence have sought to improve decision-making in human groups, sometimes inspired by animals decision-making systems. We discuss here how our societies could benefit from recent advances in ethology and artificial intelligence to improve our collective decision-making system.

Published online:
DOI: 10.24072/pcjournal.31
Type: Research article
Sueur, Cédric 1, 2, 3; Bousquet, Christophe 4, 5; Espinosa, Romain 6, 7; Deneubourg, Jean-Louis 8

1 Anthropo-Lab, ETHICS EA7446, Lille Catholic University, Lille, France
2 Institut Universitaire de France, Saint-Michel 103, 75005 Paris, France
3 Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
4 Centre de Recherche en Neurosciences de Lyon, CRNL Inserm U1028, CNRS UMR5292, Université Lyon 1, Lyon, France
5 Laboratoire Cogitamus,
6 CNRS, CREM – Université Rennes 1, Rennes,France
7 Rennes School of Business, Rennes, France
8 Center for Nonlinear Phenomena and Complex Systems (Cenoli), CP 231, Université Libre de Bruxelles (ULB), Campus Plaine, Boulevard du Triomphe, Building NO, level 5, B-1050, Bruxelles, Belgium
License: CC-BY 4.0
Copyrights: The authors retain unrestricted copyrights and publishing rights
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Sueur, Cédric; Bousquet, Christophe; Espinosa, Romain; Deneubourg, Jean-Louis. Improving human collective decision-making through animal and artificial intelligence. Peer Community Journal, Volume 1 (2021), article  no. e59. doi : 10.24072/pcjournal.31.

PCI peer reviews and recommendation, and links to data, scripts, code and supplementary information: 10.24072/pci.networksci.100002

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The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article.

[1] Agudo, U.; Matute, H. The influence of algorithms on political and dating decisions, PLOS ONE, Volume 16 (2021) no. 4 | DOI

[2] Alexander, D.; Andersen, K. Gender as a Factor in the Attribution of Leadership Traits, Political Research Quarterly, Volume 46 (1993) no. 3, pp. 527-545 | DOI

[3] Almaatouq, A.; Noriega-Campero, A.; Alotaibi, A.; Krafft, P. M.; Moussaid, M.; Pentland, A. Adaptive social networks promote the wisdom of crowds, Proceedings of the National Academy of Sciences, Volume 117 (2020) no. 21, pp. 11379-11386 | DOI

[4] Aral, S.; Eckles, D. Protecting elections from social media manipulation, Science, Volume 365 (2019) no. 6456, pp. 858-861 | DOI

[5] Arrow, K. J. A Difficulty in the Concept of Social Welfare, Journal of Political Economy, Volume 58 (1950) no. 4, pp. 328-346 | DOI

[6] Bachrach, P.; Baratz, M. S. Two Faces of Power, American Political Science Review, Volume 56 (1962) no. 4, pp. 947-952 | DOI

[7] Bak-Coleman, J. B.; Alfano, M.; Barfuss, W.; Bergstrom, C. T.; Centeno, M. A.; Couzin, I. D.; Donges, J. F.; Galesic, M.; Gersick, A. S.; Jacquet, J.; Kao, A. B.; Moran, R. E.; Romanczuk, P.; Rubenstein, D. I.; Tombak, K. J.; Van Bavel, J. J.; Weber, E. U. Stewardship of global collective behavior, Proceedings of the National Academy of Sciences, Volume 118 (2021) no. 27 | DOI

[8] Baujard, A.; Igersheim, H.; Lebon, I.; Gavrel, F.; Laslier, J.-F. Who's favored by evaluative voting? An experiment conducted during the 2012 French presidential election, Electoral Studies, Volume 34 (2014), pp. 131-145 | DOI

[9] Bayne, T.; Brainard, D.; Byrne, R. W.; Chittka, L.; Clayton, N.; Heyes, C.; Mather, J.; Ölveczky, B.; Shadlen, M.; Suddendorf, T.; Webb, B. What is cognition?, Current Biology, Volume 29 (2019) no. 13 | DOI

[10] Bergson, A. An Economic Theory of Democracy by Anthony Downs , American Economic Review, Volume 48 (1958), pp. 437-440

[11] Black, D. On the Rationale of Group Decision-making, Journal of Political Economy, Volume 56 (1948) no. 1, pp. 23-34 | DOI

[12] Blum, C.; Zuber, C. I. Liquid Democracy: Potentials, Problems, and Perspectives, Journal of Political Philosophy, Volume 24 (2016) no. 2, pp. 162-182 | DOI

[13] Bogacz, R. Optimal decision-making theories: linking neurobiology with behaviour, Trends in Cognitive Sciences, Volume 11 (2007) no. 3, pp. 118-125 | DOI

[14] Bollen KA,; Jackman RW Democracy, stability, and dichotomies, American Sociological Review, Volume 54 (1989) no. 4, pp. 612-621

[15] Bond, R. M.; Fariss, C. J.; Jones, J. J.; Kramer, A. D. I.; Marlow, C.; Settle, J. E.; Fowler, J. H. A 61-million-person experiment in social influence and political mobilization, Nature, Volume 489 (2012) no. 7415, pp. 295-298 | DOI

[16] Boureau, Y.-L.; Sokol-Hessner, P.; Daw, N. D. Deciding How To Decide: Self-Control and Meta-Decision Making, Trends in Cognitive Sciences, Volume 19 (2015) no. 11, pp. 700-710 | DOI

[17] Bourjade, M.; Sueur, C. Shared or unshared consensus for collective movement? Towards methodological concerns, Behavioural Processes, Volume 84 (2010) no. 3, pp. 648-652 | DOI

[18] Bousquet, C. A.; Ahr, N.; Sueur, C.; Petit, O. Determinants of leadership in groups of female mallards, Behaviour, Volume 154 (2017) no. 4, pp. 467-507 | DOI

[19] Bousquet, C. A.; Manser, M. B. Resolution of experimentally induced symmetrical conflicts of interest in meerkats, Animal Behaviour, Volume 81 (2011) no. 6, pp. 1101-1107 | DOI

[20] Bousquet, C. A. H.; Sumpter, D. J. T.; Manser, M. B. Moving calls: a vocal mechanism underlying quorum decisions in cohesive groups, Proceedings of the Royal Society B: Biological Sciences, Volume 278 (2011) no. 1711, pp. 1482-1488 | DOI

[21] Brent, L. J.; Franks, D. W.; Foster, E. A.; Balcomb, K. C.; Cant, M. A.; Croft, D. P. Ecological Knowledge, Leadership, and the Evolution of Menopause in Killer Whales, Current Biology, Volume 25 (2015) no. 6, pp. 746-750 | DOI

[22] Buffin, A.; Goldman, S.; Deneubourg, J. L. Collective regulatory stock management and spatiotemporal dynamics of the food flow in ants, The FASEB Journal, Volume 26 (2012) no. 7, pp. 2725-2733 | DOI

[23] Burns, A. L. J.; Herbert-Read, J. E.; Morrell, L. J.; Ward, A. J. W. Consistency of Leadership in Shoals of Mosquitofish (Gambusia holbrooki) in Novel and in Familiar Environments, PLoS ONE, Volume 7 no. 5 | DOI

[24] Canteloup, C.; Hoppitt, W.; van de Waal, E. Wild primates copy higher-ranked individuals in a social transmission experiment, Nature Communications, Volume 11 (2020) no. 1 | DOI

[25] Chamley, C. P. Rational Herds, Cambridge University Press, 2004 | DOI

[26] Chapais, B. Alliances as a means of competition in primates: Evolutionary, developmental, and cognitive aspects, American Journal of Physical Anthropology, Volume 38 (1995) no. S21, pp. 115-136 | DOI

[27] Collins, H.; Evans, R.; Durant, D.; Weinel, M. Introduction: Pluralist Democracy, Populism and Expertise, Experts and the Will of the People, Springer International Publishing, Cham, 2020, pp. 1-9 | DOI

[28] Conradt, L.; List, C. Group decisions in humans and animals: a survey, Philosophical Transactions of the Royal Society B: Biological Sciences, Volume 364 (2009) no. 1518, pp. 719-742 | DOI

[29] Conradt, L.; Roper, T. J. Group decision-making in animals, Nature, Volume 421 (2003) no. 6919, pp. 155-158 | DOI

[30] Conradt, L.; Roper, T. J. Consensus decision making in animals, Trends in Ecology & Evolution, Volume 20 (2005) no. 8, pp. 449-456 | DOI

[31] Couzin, I. D.; Krause, J.; Franks, N. R.; Levin, S. A. Effective leadership and decision-making in animal groups on the move, Nature, Volume 433 (2005) no. 7025, pp. 513-516 | DOI

[32] Crivelli, C.; Fridlund, A. J. Facial Displays Are Tools for Social Influence, Trends in Cognitive Sciences, Volume 22 (2018) no. 5, pp. 388-399 | DOI

[33] Czaczkes, T. J.; Grüter, C.; Jones, S. M.; Ratnieks, F. L. W. Synergy between social and private information increases foraging efficiency in ants, Biology Letters, Volume 7 (2011) no. 4, pp. 521-524 | DOI

[34] Davenport C; Landler M, (2019)

[35] De Waal F Are we smart enough to know how smart animals are?, WW Norton & Company, (2016)

[36] Ding, R.-X.; Palomares, I.; Wang, X.; Yang, G.-R.; Liu, B.; Dong, Y.; Herrera-Viedma, E.; Herrera, F. Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective, Information Fusion, Volume 59 (2020), pp. 84-102 | DOI

[37] Dorigo, M.; Theraulaz, G.; Trianni, V. Reflections on the future of swarm robotics, Science Robotics, Volume 5 (2020) no. 49 | DOI

[38] Dryzek, J. S.; Bächtiger, A.; Chambers, S.; Cohen, J.; Druckman, J. N.; Felicetti, A.; Fishkin, J. S.; Farrell, D. M.; Fung, A.; Gutmann, A.; Landemore, H.; Mansbridge, J.; Marien, S.; Neblo, M. A.; Niemeyer, S.; Setälä, M.; Slothuus, R.; Suiter, J.; Thompson, D.; Warren, M. E. The crisis of democracy and the science of deliberation, Science, Volume 363 (2019) no. 6432, pp. 1144-1146 | DOI

[39] Dryzek, J. S.; Stevenson, H. Global democracy and earth system governance, Ecological Economics, Volume 70 (2011) no. 11, pp. 1865-1874 | DOI

[40] Duan, Y.; Edwards, J. S.; Dwivedi, Y. K. Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda, International Journal of Information Management, Volume 48 (2019), pp. 63-71 | DOI

[41] Duboscq, J.; Romano, V.; MacIntosh, A.; Sueur, C. Social Information Transmission in Animals: Lessons from Studies of Diffusion, Frontiers in Psychology, Volume 7 (2016) | DOI

[42] Durand C Technoféodalisme - Critique de l'économie numérique, Zones, Paris, France, (2020)

[43] Edunov S; Diuk C; Filiz IO; Bhagat S; Burke M Three and a half degrees of separation. Research at Facebook, 694., (2016)

[44] El Emam K; Mosquera L; Hoptroff R Practical synthetic data generation: balancing privacy and the broad availability of data, O'Reilly Media, Sebastopol, CA, (2020)

[45] Enelow, J. M.; Hinich, M. J. A general probabilistic spatial theory of elections, Public Choice, Volume 61 (1989) no. 2, pp. 101-113 | DOI

[46] Fast E; Horvitz E Long-term trends in the public perception of artificial intelligence. arXiv preprint, arXiv:1609.04904, (2016)

[47] Fatima, S.; Desouza, K. C.; Denford, J. S.; Dawson, G. S. What explains governments interest in artificial intelligence? A signaling theory approach, Economic Analysis and Policy, Volume 71 (2021), pp. 238-254 | DOI

[48] Flack, J. C.; Girvan, M.; de Waal, F. B. M.; Krakauer, D. C. Policing stabilizes construction of social niches in primates, Nature, Volume 439 (2006) no. 7075, pp. 426-429 | DOI

[49] Fox, R. L.; Lawless, J. L. To Run or Not to Run for Office: Explaining Nascent Political Ambition, American Journal of Political Science, Volume 49 (2005) no. 3, pp. 642-659 | DOI

[50] Franks, N. R.; Dornhaus, A.; Fitzsimmons, J. P.; Stevens, M. Speed versus accuracy in collective decision making, Proceedings of the Royal Society of London. Series B: Biological Sciences, Volume 270 (2003) no. 1532, pp. 2457-2463 | DOI

[51] Gall, G. E.; Strandburg-Peshkin, A.; Clutton-Brock, T.; Manser, M. B. As dusk falls: collective decisions about the return to sleeping sites in meerkats, Animal Behaviour, Volume 132 (2017), pp. 91-99 | DOI

[52] Giraldeau, L.; Valone, T. J.; Templeton, J. J. Potential disadvantages of using socially acquired information, Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, Volume 357 (2002) no. 1427, pp. 1559-1566 | DOI

[53] Golub, B.; Jackson, M. O. Naïve Learning in Social Networks and the Wisdom of Crowds, American Economic Journal: Microeconomics, Volume 2 (2010) no. 1, pp. 112-149 | DOI

[54] Gunther, R.; Beck, P. A.; Nisbet, E. C. “Fake news” and the defection of 2012 Obama voters in the 2016 presidential election, Electoral Studies, Volume 61 (2019) | DOI

[55] Hagendorff, T. The Ethics of AI Ethics: An Evaluation of Guidelines, Minds and Machines, Volume 30 (2020) no. 1, pp. 99-120 | DOI

[56] Harcourt, J. L.; Sweetman, G.; Manica, A.; Johnstone, R. A. Pairs of Fish Resolve Conflicts over Coordinated Movement by Taking Turns, Current Biology, Volume 20 (2010) no. 2, pp. 156-160 | DOI

[57] Hassabis, D.; Kumaran, D.; Summerfield, C.; Botvinick, M. Neuroscience-Inspired Artificial Intelligence, Neuron, Volume 95 (2017) no. 2, pp. 245-258 | DOI

[58] Hemelrijk, C. K. An individual–orientated model of the emergence of despotic and egalitarian societies, Proceedings of the Royal Society of London. Series B: Biological Sciences, Volume 266 (1999) no. 1417, pp. 361-369 | DOI

[59] Henzi, S.; Lycett, J.; Piper, S. Fission and troop size in a mountain baboon population, Animal Behaviour, Volume 53 (1997) no. 3, pp. 525-535 | DOI

[60] Herbert-Read, J. E.; Perna, A.; Mann, R. P.; Schaerf, T. M.; Sumpter, D. J. T.; Ward, A. J. W. Inferring the rules of interaction of shoaling fish, Proceedings of the National Academy of Sciences, Volume 108 (2011) no. 46, pp. 18726-18731 | DOI

[61] Hinich, M. J.; Munger, M. C. The dynamics of issue introduction: A model based on the politics of ideology, Mathematical and Computer Modelling, Volume 48 (2008) no. 9-10, pp. 1510-1518 | DOI

[62] Hodge, S. J.; Manica, A.; Flower, T. P.; Clutton-Brock, T. H. Determinants of reproductive success in dominant female meerkats, Journal of Animal Ecology, Volume 77 (2008) no. 1, pp. 92-102 | DOI

[63] Hodge, S. J.; Manica, A.; Flower, T. P.; Clutton-Brock, T. H. Determinants of reproductive success in dominant female meerkats, Journal of Animal Ecology, Volume 77 (2008) no. 1, pp. 92-102 | DOI

[64] Hoerner, J. M.; Hobolt, S. B. Unity in diversity? Polarization, issue diversity and satisfaction with democracy, Journal of European Public Policy, Volume 27 (2019) no. 12, pp. 1838-1857 | DOI

[65] Hooper, P. L.; Kaplan, H. S.; Boone, J. L. A theory of leadership in human cooperative groups, Journal of Theoretical Biology, Volume 265 (2010) no. 4, pp. 633-646 | DOI

[66] Jackson, M. O. The Friendship Paradox and Systematic Biases in Perceptions and Social Norms, Journal of Political Economy, Volume 127 (2019) no. 2, pp. 777-818 | DOI

[67] Jensen P Your life in numbers: modeling society through data, Copernicus, (2021)

[68] Jobin, A.; Ienca, M.; Vayena, E. The global landscape of AI ethics guidelines, Nature Machine Intelligence, Volume 1 (2019) no. 9, pp. 389-399 | DOI

[69] Jolles, J. W.; King, A. J.; Killen, S. S. The Role of Individual Heterogeneity in Collective Animal Behaviour, Trends in Ecology & Evolution, Volume 35 (2020) no. 3, pp. 278-291 | DOI

[70] Jones, J. J.; Bond, R. M.; Bakshy, E.; Eckles, D.; Fowler, J. H. Social influence and political mobilization: Further evidence from a randomized experiment in the 2012 U.S. presidential election, PLOS ONE, Volume 12 (2017) no. 4 | DOI

[71] Jotzo, F.; Depledge, J.; Winkler, H. US and international climate policy under President Trump, Climate Policy, Volume 18 (2018) no. 7, pp. 813-817 | DOI

[72] Kao, A. B.; Couzin, I. D. Decision accuracy in complex environments is often maximized by small group sizes, Proceedings of the Royal Society B: Biological Sciences, Volume 281 (2014) no. 1784 | DOI

[73] Kaplan A.M. Artificial Intelligence, Social Media, and Fake News: Is this the End of Democraty? in Media and Society, Istanbul University Press Books, pp 149-161, (2020)

[74] Katsikopoulos, K. V.; King, A. J. Swarm Intelligence in Animal Groups: When Can a Collective Out-Perform an Expert?, PLoS ONE, Volume 5 (2010) no. 11 | DOI

[75] Katz, Y.; Tunstrom, K.; Ioannou, C. C.; Huepe, C.; Couzin, I. D. Inferring the structure and dynamics of interactions in schooling fish, Proceedings of the National Academy of Sciences, Volume 108 (2011) no. 46, pp. 18720-18725 | DOI

[76] Kaur, S.; Kumar, P.; Kumaraguru, P. Deepfakes: temporal sequential analysis to detect face-swapped video clips using convolutional long short-term memory, Journal of Electronic Imaging, Volume 29 (2020) | DOI

[77] Kindleberger, C. P. Dominance and Leadership in the International Economy: Exploitation, Public Goods, and Free Rides, International Studies Quarterly, Volume 25 (1981) no. 2 | DOI

[78] King, A. J. Follow me! I’m a leader if you do; I’m a failed initiator if you don’t?, Behavioural Processes, Volume 84 (2010) no. 3, pp. 671-674 | DOI

[79] King, A. J.; Douglas, C. M.; Huchard, E.; Isaac, N. J.; Cowlishaw, G. Dominance and Affiliation Mediate Despotism in a Social Primate, Current Biology, Volume 18 (2008) no. 23, pp. 1833-1838 | DOI

[80] King, A. J.; Sueur, C. Where Next? Group Coordination and Collective Decision Making by Primates, International Journal of Primatology, Volume 32 (2011) no. 6, pp. 1245-1267 | DOI

[81] Kostelka, F.; Blais, A. The Generational and Institutional Sources of the Global Decline in Voter Turnout, World Politics, Volume 73 (2021) no. 4, pp. 629-667 | DOI

[82] Krause, J.; Ruxton, G. D.; Krause, S. Swarm intelligence in animals and humans, Trends in Ecology & Evolution, Volume 25 (2010) no. 1, pp. 28-34 | DOI

[83] Kummer H Social Organization of Hamadryas Baboons. A Field Study, Chicago University Press, Chicago & London, (1968)

[84] Kurvers, R.; Hertz, U.; karpus, j.; Balode, M.; Jayles, B.; Binmore, K.; Bahrami, B. Strategic disinformation outperforms honesty in competition for social influence, Strategic dishonesty trumps truth-telling in competition for social influence. PsyArXiv preprints, (2020) | DOI

[85] Kurvers, R. H. J. M.; Herzog, S. M.; Hertwig, R.; Krause, J.; Carney, P. A.; Bogart, A.; Argenziano, G.; Zalaudek, I.; Wolf, M. Boosting medical diagnostics by pooling independent judgments, Proceedings of the National Academy of Sciences, Volume 113 (2016) no. 31, pp. 8777-8782 | DOI

[86] Kurvers, R. H.; Herzog, S. M.; Hertwig, R.; Krause, J.; Wolf, M. Pooling decisions decreases variation in response bias and accuracy, iScience, Volume 24 (2021) no. 7 | DOI

[87] Landemore H Open democracy: reinventing popular rule for the twenty-first century, Princeton University Press, (2020)

[88] Landemore, H.; Page, S. E. Deliberation and disagreement, Politics, Philosophy & Economics, Volume 14 (2015) no. 3, pp. 229-254 | DOI

[89] Lane, J. Democratizing Our Data, The MIT Press, (2020) | DOI

[90] Lazer, D. M. J.; Baum, M. A.; Benkler, Y.; Berinsky, A. J.; Greenhill, K. M.; Menczer, F.; Metzger, M. J.; Nyhan, B.; Pennycook, G.; Rothschild, D.; Schudson, M.; Sloman, S. A.; Sunstein, C. R.; Thorson, E. A.; Watts, D. J.; Zittrain, J. L. The science of fake news, Science, Volume 359 (2018) no. 6380, pp. 1094-1096 | DOI

[91] Lerman, K.; Yan, X.; Wu, X.-Z. The "Majority Illusion" in Social Networks, PLOS ONE, Volume 11 (2016) no. 2 | DOI

[92] Levin, H. A.; Friedler, S. A. Automated Congressional Redistricting, ACM Journal of Experimental Algorithmics, Volume 24 (2019), pp. 1-24 | DOI

[93] Lisetti, C. L.; Schiano, D. J. Automatic facial expression interpretation: Where human-computer interaction, artificial intelligence and cognitive science intersect, Pragmatics & cognition, Volume 8 (2000) no. 1, pp. 185-235 | DOI

[94] List, C. Democracy in animal groups: a political science perspective, Trends in Ecology & Evolution, Volume 19 (2004) no. 4, pp. 168-169 | DOI

[95] List, C.; Luskin, R. C.; Fishkin, J. S.; McLean, I. Deliberation, Single-Peakedness, and the Possibility of Meaningful Democracy: Evidence from Deliberative Polls, The Journal of Politics, Volume 75 (2013) no. 1, pp. 80-95 | DOI

[96] Lobera, J.; Fernández Rodríguez, C. J.; Torres-Albero, C. Privacy, Values and Machines: Predicting Opposition to Artificial Intelligence, Communication Studies, Volume 71 (2020) no. 3, pp. 448-465 | DOI

[97] Manno, T. G.; Dobson, F. S.; Hoogland, J. L.; Foltz, D. W. Social Group Fission and Gene Dynamics among Black-Tailed Prairie Dogs (Cynomys ludovicianus), Journal of Mammalogy, Volume 88 (2007) no. 2, pp. 448-456 | DOI

[98] Marshall JA Conference: Modeling Complex Adaptive Systems as if They Were Voting Processes, Papers from the 2011 AAAI Spring Symposium, Technical Report SS-11-08, Stanford, California, USA, March 21-23, 2011, (2011)

[99] Marshall, J. A. R.; Bogacz, R.; Dornhaus, A.; Planqué, R.; Kovacs, T.; Franks, N. R. On optimal decision-making in brains and social insect colonies, Journal of The Royal Society Interface, Volume 6 (2009) no. 40, pp. 1065-1074 | DOI

[100] Marshall, J. A.; Kurvers, R. H.; Krause, J.; Wolf, M. Quorums enable optimal pooling of independent judgements in biological systems, eLife, Volume 8 (2019) | DOI

[101] McComb, K.; Shannon, G.; Durant, S. M.; Sayialel, K.; Slotow, R.; Poole, J.; Moss, C. Leadership in elephants: the adaptive value of age, Proceedings of the Royal Society B: Biological Sciences, Volume 278 (2011) no. 1722, pp. 3270-3276 | DOI

[102] Meijer, E. When Animals Speak, NYU Press, (2019) | DOI

[103] Ménard, N.; Vallet, D. Dynamics of fission in a wild Barbary macaque group (Macaca sylvanus), International Journal of Primatology, Volume 14 (1993) no. 3, pp. 479-500 | DOI

[104] Mercier, H.; Morin, O. Majority rules: how good are we at aggregating convergent opinions?, Evolutionary Human Sciences, Volume 1 (2019) | DOI

[105] Merz, N.; Regel, S.; Lewandowski, J. The Manifesto Corpus: A new resource for research on political parties and quantitative text analysis, Research & Politics, Volume 3 (2016) no. 2 | DOI

[106] Metcalf, L.; Askay, D. A.; Rosenberg, L. B. Keeping Humans in the Loop: Pooling Knowledge through Artificial Swarm Intelligence to Improve Business Decision Making, California Management Review, Volume 61 (2019) no. 4, pp. 84-109 | DOI

[107] Mezza-Garcia, N. Bio-inspired Political Systems: Opening a Field, Proceedings of the European Conference on Complex Systems 2012, Springer International Publishing, Cham, (2013), pp. 785-812 | DOI

[108] Milgram, S. The small-world problem, The small world problem. Psychology today, Volume 1, 1967, pp. 60-67 | DOI

[109] Miller, J. C. A program for direct and proxy voting in the legislative process, Public Choice, Volume 7-7 (1969) no. 1, pp. 107-113 | DOI

[110] Miorandi D; Maltese V; Rovatsos M; Nijholt A; Stewart J Social collective intelligence - Combining the powers of humans and machines to build a smarter society, Springer, (2014)

[111] Nagy, M.; Horicsányi, A.; Kubinyi, E.; Couzin, I. D.; Vásárhelyi, G.; Flack, A.; Vicsek, T. Synergistic Benefits of Group Search in Rats, Current Biology, Volume 30 (2020) no. 23 | DOI

[112] Navajas, J.; Niella, T.; Garbulsky, G.; Bahrami, B.; Sigman, M. Aggregated knowledge from a small number of debates outperforms the wisdom of large crowds, Nature Human Behaviour, Volume 2 (2018) no. 2, pp. 126-132 | DOI

[113] Okamoto, K.; Matsumura, S. International Journal of Primatology, 22 (2001) no. 3, pp. 481-493 | DOI

[114] Olivola, C. Y.; Todorov, A. Elected in 100 milliseconds: Appearance-Based Trait Inferences and Voting, Journal of Nonverbal Behavior, Volume 34 (2010) no. 2, pp. 83-110 | DOI

[115] Ozbay, F. A.; Alatas, B. Fake news detection within online social media using supervised artificial intelligence algorithms, Physica A: Statistical Mechanics and its Applications, Volume 540 (2020) | DOI

[116] Pasquaretta, C.; Battesti, M.; Klenschi, E.; Bousquet, C. A. H.; Sueur, C.; Mery, F. How social network structure affects decision-making in Drosophila melanogaster, Proceedings of the Royal Society B: Biological Sciences, Volume 283 (2016) no. 1826 | DOI

[117] Pelé, M.; Sueur, C. Decision-making theories: linking the disparate research areas of individual and collective cognition, Animal Cognition, Volume 16 (2013) no. 4, pp. 543-556 | DOI

[118] Pennisi, A.; Giallongo, L. Animal Biopolitics: How Animals Vote, International Journal for the Semiotics of Law - Revue internationale de Sémiotique juridique, Volume 31 (2018) no. 3, pp. 491-499 | DOI

[119] Perez, O. Collaborative е-Rulemaking, Democratic Bots, and the Future of Digital Democracy, Digital Government: Research and Practice, Volume 1 (2020) no. 1, pp. 1-13 | DOI

[120] Peterson, J. C.; Bourgin, D. D.; Agrawal, M.; Reichman, D.; Griffiths, T. L. Using large-scale experiments and machine learning to discover theories of human decision-making, Science, Volume 372 (2021) no. 6547, pp. 1209-1214 | DOI

[121] Peterson, R. O.; Jacobs, A. K.; Drummer, T. D.; Mech, L. D.; Smith, D. W. Leadership behavior in relation to dominance and reproductive status in gray wolves, Canis lupus, Canadian Journal of Zoology, Volume 80 (2002) no. 8, pp. 1405-1412 | DOI

[122] Pirrone, A.; Stafford, T.; Marshall, J. A. R. When natural selection should optimize speed-accuracy trade-offs, Frontiers in Neuroscience, Volume 8 (2014) | DOI

[123] Prins HHT Ecology and behaviour of the African buffalo: social inequality and decision making, Springer, (1996)

[124] Rahwan, I.; Cebrian, M.; Obradovich, N.; Bongard, J.; Bonnefon, J.-F.; Breazeal, C.; Crandall, J. W.; Christakis, N. A.; Couzin, I. D.; Jackson, M. O.; Jennings, N. R.; Kamar, E.; Kloumann, I. M.; Larochelle, H.; Lazer, D.; McElreath, R.; Mislove, A.; Parkes, D. C.; Pentland, A. ‘.; Roberts, M. E.; Shariff, A.; Tenenbaum, J. B.; Wellman, M. Machine behaviour, Nature, Volume 568 (2019) no. 7753, pp. 477-486 | DOI

[125] Ramos, A.; Petit, O.; Longour, P.; Pasquaretta, C.; Sueur, C. Collective decision making during group movements in European bison, Bison bonasus, Animal Behaviour, Volume 109 (2015), pp. 149-160 | DOI

[126] Rankin, D.; Black, M.; Bond, R.; Wallace, J.; Mulvenna, M.; Epelde, G. Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing, JMIR Medical Informatics, Volume 8 no. 7 | DOI

[127] Ratcliff, R.; Smith, P. L.; Brown, S. D.; McKoon, G. Diffusion Decision Model: Current Issues and History, Trends in Cognitive Sciences, Volume 20 (2016) no. 4, pp. 260-281 | DOI

[128] Reebs, S. G. Can a minority of informed leaders determine the foraging movements of a fish shoal?, Animal Behaviour, Volume 59 (2000) no. 2, pp. 403-409 | DOI

[129] Riker, W. H.; Ordeshook, P. C. A Theory of the Calculus of Voting, American Political Science Review, Volume 62 (1968) no. 1, pp. 25-42 | DOI

[130] Riker, W. The art of political manipulation, Yale University Press, (1986)

[131] Saari, D. G. Complexity and the geometry of voting, Mathematical and Computer Modelling, Volume 48 (2008) no. 9-10, pp. 1335-1356 | DOI

[132] Sankey, D. W. E.; O'Bryan, L. R.; Garnier, S.; Cowlishaw, G.; Hopkins, P.; Holton, M.; Fürtbauer, I.; King, A. J. Consensus of travel direction is achieved by simple copying, not voting, in free-ranging goats, Royal Society Open Science, Volume 8 (2021) no. 2 | DOI

[133] Schein, M. W.; Fohrman, M. H. Social dominance relationships in a herd of dairy cattle, The British Journal of Animal Behaviour, Volume 3 (1955) no. 2, pp. 45-55 | DOI

[134] Seeley, T. D. Consensus building during nest-site selection in honey bee swarms: the expiration of dissent, Behavioral Ecology and Sociobiology, Volume 53 (2003) no. 6, pp. 417-424 | DOI

[135] Seeley, T. D. Honeybee Democracy, Princeton University Press, (2011) | DOI

[136] Sen, A. The Idea of Justice, Harvard University Press, (2009) | DOI

[137] Smith, J. E.; Gavrilets, S.; Mulder, M. B.; Hooper, P. L.; Mouden, C. E.; Nettle, D.; Hauert, C.; Hill, K.; Perry, S.; Pusey, A. E.; van Vugt, M.; Smith, E. A. Leadership in Mammalian Societies: Emergence, Distribution, Power, and Payoff, Trends in Ecology & Evolution, Volume 31 (2016) no. 1, pp. 54-66 | DOI

[138] Strandburg-Peshkin, A.; Farine, D. R.; Couzin, I. D.; Crofoot, M. C. Shared decision-making drives collective movement in wild baboons, Science, Volume 348 (2015) no. 6241, pp. 1358-1361 | DOI

[139] Sueur, C. Viability of decision-making systems in human and animal groups, Journal of Theoretical Biology, Volume 306 (2012), pp. 93-103 | DOI

[140] Sueur, C.; Deneubourg, J.-L. Self-Organization in Primates: Understanding the Rules Underlying Collective Movements, International Journal of Primatology, Volume 32 (2011) no. 6, pp. 1413-1432 | DOI

[141] Sueur, C.; Deneubourg, J.-L.; Petit, O. Sequence of quorums during collective decision making in macaques, Behavioral Ecology and Sociobiology, Volume 64 (2010) no. 11, pp. 1875-1885 | DOI

[142] Sueur, C.; Deneubourg, J. L.; Petit, O. From the first intention movement to the last joiner: macaques combine mimetic rules to optimize their collective decisions, Proceedings of the Royal Society B: Biological Sciences, Volume 278 (2011) no. 1712, pp. 1697-1704 | DOI

[143] Sueur, C.; King, A. J.; Conradt, L.; Kerth, G.; Lusseau, D.; Mettke-Hofmann, C.; Schaffner, C. M.; Williams, L.; Zinner, D.; Aureli, F. Collective decision-making and fission-fusion dynamics: a conceptual framework, Oikos, Volume 120 (2011) no. 11, pp. 1608-1617 | DOI

[144] Sueur, C.; King, A. J.; Pelé, M.; Petit, O. Fast and Accurate Decisions as a Result of Scale-Free Network Properties in Two Primate Species, Proceedings of the European Conference on Complex Systems 2012, Springer International Publishing, 2013, pp. 579-584 | DOI

[145] Sueur, C.; MacIntosh, A. J. J.; Jacobs, A. T.; Watanabe, K.; Petit, O. Predicting leadership using nutrient requirements and dominance rank of group members, Behavioral Ecology and Sociobiology, Volume 67 (2013) no. 3, pp. 457-470 | DOI

[146] Sueur, C.; Petit, O. Shared or unshared consensus decision in macaques?, Behavioural Processes, Volume 78 (2008) no. 1, pp. 84-92 | DOI

[147] Summers, K. The evolutionary ecology of despotism, Evolution and Human Behavior, Volume 26 (2005) no. 1, pp. 106-135 | DOI

[148] Sumpter, D. J.; Pratt, S. C. Quorum responses and consensus decision making, Philosophical Transactions of the Royal Society B: Biological Sciences, Volume 364 (2009) no. 1518, pp. 743-753 | DOI

[149] Tavares, G.; Perona, P.; Rangel, A. The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making, Frontiers in Neuroscience, Volume 11 (2017) | DOI

[150] Tokuyama, N.; Furuichi, T. Leadership of old females in collective departures in wild bonobos (Pan paniscus) at Wamba, Behavioral Ecology and Sociobiology, Volume 71 (2017) no. 3 | DOI

[151] Tollefson, J. Tracking QAnon: how Trump turned conspiracy-theory research upside down, Nature, Volume 590 (2021), pp. 192-193 | DOI

[152] Tullock G Toward a mathematics of politics, University of Michigan Press, Ann Arbor, (1967)

[153] Van der Straeten, K.; Laslier, J.-F.; Blais, A. Vote Au Pluriel: How People Vote When Offered to Vote Under Different Rules, PS: Political Science & Politics, Volume 46 (2013) no. 02, pp. 324-328 | DOI

[154] Van Vugt, M.; Hogan, R.; Kaiser, R. B. Leadership, followership, and evolution: Some lessons from the past., American Psychologist, Volume 63 (2008) no. 3, pp. 182-196 | DOI

[155] Waal F de Chimpanzee Politics: Power and Sex Among Apes, JHU Press, (2007)

[156] Walker, R. H.; King, A. J.; McNutt, J. W.; Jordan, N. R. Sneeze to leave: African wild dogs ( Lycaon pictus ) use variable quorum thresholds facilitated by sneezes in collective decisions, Proceedings of the Royal Society B: Biological Sciences, Volume 284 (2017) no. 1862 | DOI

[157] Ward, A. J. W.; Herbert-Read, J. E.; Sumpter, D. J. T.; Krause, J. Fast and accurate decisions through collective vigilance in fish shoals, Proceedings of the National Academy of Sciences, Volume 108 (2011) no. 6, pp. 2312-2315 | DOI

[158] Whiten A; Byrne RW Machiavellian Intelligence II, Cambridge University Press, (1997) | DOI

[159] Wolf, M.; Weissing, F. J. Animal personalities: consequences for ecology and evolution, Trends in Ecology & Evolution, Volume 27 (2012) no. 8, pp. 452-461 | DOI

[160] Wroblewski, E. E.; Murray, C. M.; Keele, B. F.; Schumacher-Stankey, J. C.; Hahn, B. H.; Pusey, A. E. Male dominance rank and reproductive success in chimpanzees, Pan troglodytes schweinfurthii, Animal Behaviour, Volume 77 (2009) no. 4, pp. 873-885 | DOI

[161] Zador, A. M. A critique of pure learning and what artificial neural networks can learn from animal brains, Nature Communications, Volume 10 (2019) no. 1 | DOI

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