TítuloOptimising Congenial Teams
Publication TypeConference Paper
Year of Publication2016
AuthorsAndrejczuk E, Rodríguez-Aguilar JA, Sierra C
Conference NameInternational Workshop on Optimisation in multiagent systems (OPTMAS)
Date Published10/05/2016
Palabras claveConstrained Coalition Formation, Greedy Algorithm, Personality, Team Formation

Effective teams are crucial for organisations, especially in environments that require teams to be constantly created and dismantled, such as software development, scientific experiments, crowd-sourcing, or the classroom. One of the key factors influencing team performance is the personality of team members. In this paper, we introduce a new algorithm to partition a group of individuals into gender and psychologically-balanced problem-solving teams. With this purpose, we got inspiration from Wildes post-Jungian theory for team formation. Personality traits of people are obtained through a quantitative transformation of the Myers-Briggs Type Indicator (MBTI). The algorithm uses a greedy technique to balance the psychological traits of the members of teams so that each team gets the full range of problem-solving capabilities. Finally, we present some preliminary empirical results comparing the quality of the teams obtained by our algorithm and those proposed by a teacher.