Competing or collaborating, with no symmetrical behaviour: Leadership opportunities and winning strategies under stability

Abstract In this paper, a new dynamic mathematical model describing leadership emergence or disappearance in agent based networks is proposed. Through a generalized Verhulst-Lotka–Volterra model, a triad of agents operates in a market where each agent detains a quota. The triad is composed of a leader, who leads communication, and two followers. Communications flows both ways from leader to followers and vice versa. Competition, collaboration and cheating are allowed. Stability solutions are investigated analytically through a fixed point analysis. Various solutions exist depending on the type of behavioural interactions. Results show that communication counts: survival of the leader is a condition for stability. All configurations with the leader out of the market are unstable. Conversely, the two followers position is highly difficult. The three agents cannot all survive unless they behave under mutual collaboration and in very special conditions. For followers, cheating the leader, especially if the leader is collaborating, can be a disaster. By the way, collaboration with the leader may not always ensure market survival. However, this can be a strategy to survive and even share the leadership, in particular when the other agent cheats (or is cheated by) the leader. Cheating is a cause of instability. In fact, only a few cases reach stability: this occurs when cheating comes from the leader and the leader always wins. The leader may be interested in cheating if she does not want to share the leadership with a follower, that is to get the monopoly of the market.

[1]  Marcel Ausloos,et al.  Complex-valued information entropy measure for networks with directed links (digraphs). Application to citations by community agents with opposite opinions , 2013, The European Physical Journal B.

[2]  D. Grundey,et al.  Market capacity from the viewpoint of logistic analysis , 2010 .

[3]  Valerio Capraro,et al.  Mathematical foundations of moral preferences , 2021, Journal of the Royal Society Interface.

[4]  Fei Han,et al.  On modeling the advertising-operations interface under asymmetric competition , 2015, Eur. J. Oper. Res..

[5]  S. Guastello Self-Organization in Leadership Emergence , 1998 .

[6]  S. Xie,et al.  Superconductivity and magnetic properties in Pr0.2Yb0.8−xLaxBa2Cu3O7−δ , 1992 .

[7]  Karen R. Polenske,et al.  Competition, Collaboration and Cooperation: An Uneasy Triangle in Networks of Firms and Regions , 2004 .

[8]  Bernardo A. Huberman,et al.  Competitive Dynamics of Web Sites , 2000, nlin/0003041.

[9]  Weini Huang,et al.  A resource-based game theoretical approach for the paradox of the plankton , 2016, PeerJ.

[10]  Renaud Lambiotte,et al.  On co-evolution and the importance of initial conditions , 2011 .

[11]  Lin Wang,et al.  Evolutionary games on multilayer networks: a colloquium , 2015, The European Physical Journal B.

[12]  M. Bengtsson,et al.  ”Coopetition” in Business Networks—to Cooperate and Compete Simultaneously , 2000 .

[13]  Guangming Xie,et al.  Controllability of a Leader–Follower Dynamic Network With Switching Topology , 2008, IEEE Transactions on Automatic Control.

[14]  A. N. Proto,et al.  Dynamic peer-to-peer competition , 2010, 1004.5020.

[15]  P. Verhulst,et al.  Deuxième Mémoire sur la Loi d'Accroissement de la Population. , 2022 .

[16]  Carl Henning Reschke Strategic Management, Evolutionary Economics, and Complex Adaptive Systems , 2008 .

[17]  Arlindo Kamimura,et al.  The Economic System Seen As A Living System: A Lotka-Volterra Framework , 2011 .

[18]  A. J. Lotka,et al.  Elements of Physical Biology. , 1925, Nature.

[19]  Attila Szolnoki,et al.  Coevolutionary Games - A Mini Review , 2009, Biosyst..

[20]  J. Sprott,et al.  Chaos in low-dimensional Lotka–Volterra models of competition , 2006 .

[21]  M. Ausloos,et al.  Dynamical phase diagrams of a love capacity constrained prey–predator model , 2018, The European Physical Journal B.

[22]  Marcel Ausloos,et al.  Verhulst-Lotka-Volterra (VLV) model of ideological struggles , 2010, ArXiv.

[23]  J. Stiglitz The Monopolistic Competition Revolution in Retrospect: Reflections on the state of the theory of monopolistic competition , 2001 .

[24]  James K. Hazy,et al.  Toward a theory of leadership in complex systems: computational modeling explorations. , 2008, Nonlinear dynamics, psychology, and life sciences.

[25]  Călin-Adrian Comes,et al.  Banking System: Three level Lotka-Volterra Model , 2012 .

[26]  J. M. Luck,et al.  Statistics of leaders and lead changes in growing networks , 2009, 0911.3057.

[27]  Bernhard Ganglmair,et al.  Expectations of reciprocity when competitors share information: Experimental evidence , 2020 .

[28]  D. Encaoua,et al.  Strategic Competition and the Persistence of Dominant Firms: a Survey , 1986 .

[29]  Zhu Si-ming,et al.  Competitive dynamics of e-commerce web sites ☆ , 2007 .

[30]  H. Sungaila The New Science of Chaos: Making a New Science of Leadership? , 1990 .

[31]  Marco A. Janssen,et al.  Evolution of cooperation in a one-shot Prisoner's , 2008 .

[32]  L F Caram,et al.  Cooperative peer-to-peer multiagent-based systems. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  M. Ausloos,et al.  Effects of competition and cooperation interaction between agents on networks in the presence of a market capacity. , 2016, Physical review. E.

[34]  B. Gray,et al.  Collaborative Alliances: Moving from Practice to Theory , 1991 .

[35]  Dietrich Stauffer,et al.  Interplay between cooperation-enhancing mechanisms in evolutionary games with tag-mediated interactions , 2017 .

[36]  M. Ausloos,et al.  DISCRETE MODEL OF IDEOLOGICAL STRUGGLE ACCOUNTING FOR MIGRATION , 2012, 1206.4099.

[37]  A. Kreppel,et al.  Coalition Formation in the European Parliament , 1999 .

[38]  J. Hayward,et al.  Activist model of political party growth , 2015, 1509.07805.

[39]  Benjamin E. Hermalin Leading for the Long-Term , 1998 .

[40]  D. Teece Competition, Cooperation, and Innovation Organizational Arrangements for Regimes of Rapid Technological Progress , 1992 .

[41]  P. Verhulst Recherches mathématiques sur la loi d’accroissement de la population , 2022, Nouveaux mémoires de l'Académie royale des sciences et belles-lettres de Bruxelles.

[42]  Marcel Ausloos,et al.  Glassy States of Aging Social Networks , 2017, Entropy.

[43]  Andrés Jiménez-Losada,et al.  Cooperation among agents with a proximity relation , 2016, Eur. J. Oper. Res..

[44]  D. Acemoglu,et al.  Coalition Formation in Non-Democracies , 2008 .

[45]  Annick Castiaux,et al.  Radical innovation in established organizations: Being a knowledge predator , 2007 .

[46]  Jason Barr,et al.  Organization, learning and cooperation , 2004 .