DocumentCode :
2776653
Title :
An Agent-Based Evolutionary Model of Leadership
Author :
Sharpanskykh, Alexei ; Spisak, Brian R.
Author_Institution :
Artificial Intell. Dept., VU Univ. Amsterdam, Amsterdam, Netherlands
fYear :
2011
fDate :
9-11 Oct. 2011
Firstpage :
848
Lastpage :
855
Abstract :
Leadership is a robust human behaviour, which occurs rapidly in groups. It is argued that leadership provides a solution to coordination problems in groups and allows maximizing group benefits while minimizing group costs. In this paper a novel, agent-based model of leadership is presented, which is based on recently emerging literature on the human evolution. The model advances on the traditional research on leadership by identifying fitness-relevant situation dynamics that remained consistent throughout human evolution to select for specific leadership and follower ship characteristics. Incorporating the mechanics of evolution and the associated environmental pressures accounts for the innate tendencies of human leadership and follower ship, and consequently yields an increased level of model validity. The application of the model is illustrated by two voting examples and an empirical study, which provide an indication of the model validity.
Keywords :
evolutionary computation; management; multi-agent systems; agent-based evolutionary model; agent-based model; environmental pressures; fitness-relevant situation dynamics; follower ship; human evolution; human leadership; Computational modeling; Fitting; Humans; Lead; Nominations and elections; Prototypes; Psychology; agent-based simulation; evolutionary leadership; social influence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4577-1931-8
Type :
conf
DOI :
10.1109/PASSAT/SocialCom.2011.145
Filename :
6113228
Link To Document :
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