Cooperation and deception through stigmergic interactions in human groups

Stigmergy is a generic coordination mechanism widely used by animal societies, in which traces left by individuals in a medium guide and stimulate their subsequent actions. In humans, new forms of stigmergic processes have emerged through the development of online services that extensively use the digital traces left by their users. Here we combine interactive experiments with faithful data-based modeling to investigate how groups of individuals exploit a simple rating system and the resulting traces in an information search task in competitive or non-competitive conditions. We find that stigmergic interactions can help groups to collectively find the cells with the highest values in a table of hidden numbers. We show that individuals can be classified into three behavioral profiles that differ in their degree of cooperation. Moreover, the competitive situation prompts individuals to give deceptive ratings and reinforces the weight of private information versus social information in their decisions.

[1]  R. Baltzersen.  Cultural-Historical Perspectives on Collective Intelligence , 2021 .

[2]  Dietmar Jannach,et al.  Digital Nudging with Recommender Systems: Survey and Future Directions , 2020, Computers in Human Behavior Reports.

[3]  Josh A. Firth,et al.  The “online brain”: how the Internet may be changing our cognition , 2019, World psychiatry : official journal of the World Psychiatric Association.

[4]  Guy Theraulaz,et al.  How social information can improve estimation accuracy in human groups , 2017, Proceedings of the National Academy of Sciences.

[5]  Magdalena Petersson McIntyre,et al.  Digitalizing Consumption : How devices shape consumer culture , 2017 .

[6]  R. Kanai,et al.  How Has the Internet Reshaped Human Cognition? , 2016, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[7]  Andrew J. J. MacIntosh,et al.  Social Information Transmission in Animals: Lessons from Studies of Diffusion , 2016, Front. Psychol..

[8]  Francis Heylighen,et al.  Stigmergy as a universal coordination mechanism I: Definition and components , 2016, Cognitive Systems Research.

[9]  Francis Heylighen,et al.  Stigmergy as a universal coordination mechanism II: Varieties and evolution , 2016, Cognitive Systems Research.

[10]  Guy Theraulaz,et al.  Stigmergic construction and topochemical information shape ant nest architecture , 2016, Proceedings of the National Academy of Sciences.

[11]  Erin S Gloag,et al.  Bacterial Stigmergy: An Organising Principle of Multicellular Collective Behaviours of Bacteria , 2015, Scientifica.

[12]  Huseyin Polat,et al.  Shilling attacks against recommender systems: a comprehensive survey , 2014, Artificial Intelligence Review.

[13]  Scott A. Golder,et al.  Digital Footprints: Opportunities and Challenges for Online Social Research , 2014 .

[14]  Dhavalkumar Thakker,et al.  Making sense of digital traces: An activity theory driven ontological approach , 2013, J. Assoc. Inf. Sci. Technol..

[15]  C. Whitchurch,et al.  Stigmergy , 2013, Communicative & integrative biology.

[16]  S. Levin,et al.  Stigmergy, collective actions, and animal social spacing , 2013, Proceedings of the National Academy of Sciences.

[17]  Leslie Marsh,et al.  Stigmergy 3.0: From ants to economies , 2013, Cognitive Systems Research.

[18]  Thorsten Hennig-Thurau,et al.  Can Automated Group Recommender Systems Help Consumers Make Better Choices? , 2012 .

[19]  Raymond Chiong,et al.  The evolution of cooperation via stigmergic interactions , 2012, 2012 IEEE Congress on Evolutionary Computation.

[20]  V. Isaeva.  Self-organization in biological systems , 2012, Biology Bulletin.

[21]  L. Edelstein-Keshet.  Collective Animal Behavior , 2011 .

[22]  Sonja Utz,et al.  The Good, the Bad and the Ugly Thing to Do When Sharing Information: Revealing, Concealing and Lying Depend on Social Motivation, Distribution and Importance of Information , 2010 .

[23]  Dirk Helbing,et al.  Collective Information Processing and Pattern Formation in Swarms, Flocks, and Crowds , 2009, Top. Cogn. Sci..

[24]  H. Van Dyke Parunak,et al.  A Survey of Environments and Mechanisms for Human-Human Stigmergy , 2005, E4MAS.

[25]  T. Valone,et al.  Public Information: From Nosy Neighbors to Cultural Evolution , 2004, Science.

[26]  Wolfgang Steinel,et al.  Social motives and strategic misrepresentation in social decision making. , 2004, Journal of personality and social psychology.

[27]  K. Laland.  Social learning strategies , 2004, Learning & behavior.

[28]  Anthony C. Davison,et al.  Bootstrap Methods and Their Application , 1998 .

[29]  Francis Heylighen,et al.  Collective Intelligence and its Implementation on the Web: Algorithms to Develop a Collective Mental Map , 1999, Comput. Math. Organ. Theory.

[30]  Guy Theraulaz,et al.  A Brief History of Stigmergy , 1999, Artificial Life.

[31]  J. Deneubourg,et al.  Collective decision making through food recruitment , 1990, Insectes Sociaux.

[32]  Dale E. Zand.  Trust and Managerial Problem Solving , 1972 .

[33]  P.-P. Grasse.  La reconstruction du nid et les coordinations interindividuelles chezBellicositermes natalensis etCubitermes sp. la théorie de la stigmergie: Essai d'interprétation du comportement des termites constructeurs , 1959, Insectes Sociaux.

[34]  Yi Jiang,et al.  Stigmergy-Based Construction of Internetware Artifacts , 2015, IEEE Software.

[35]  Sophie Ahrens,et al.  Recommender Systems , 2012 .

[36]  I. Couzin.  Collective minds , 2007, Nature.

[37]  C. Heyes,et al.  Social learning in animals : the roots of culture , 1996 .

[38]  S. Balakrishnan,et al.  Information asymmetry, adverse selection and joint-ventures* Theory and evidence , 1993 .

[39]  T. Zentall,et al.  Social learning : psychological and biological perspectives , 1988 .