Authors:
Adrián Bresó
;
Alfonso Pérez
;
Javier Juan-Albarracín
;
Juan Martínez-Miranda
;
Montserrat Robles
and
Juan Miguel García-Gómez
Affiliation:
Universitat Politècnica de València, Spain
Keyword(s):
Individual creativity, Group creativity, Repast, Social simulation, Multi-Agent System, Teamwork.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
AI and Creativity
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Multi-Agent Systems
;
Operational Research
;
Simulation
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
Over the past decades, advances in Artificial Intelligence (AI) techniques have investigated the modelling of complex systems. In particular, the use of Multi-Agent Systems (MAS) opened new possibilities for studying different domains using social simulation. In the present work we have implemented and empirically evaluated a Multi-Agent Based Social Simulation (MABSS) system to support the formation of creative work teams. Based on existent psychological and organizational creativity studies, we have modelled a set of personal characteristics and contextual factors to represent and analyse their influence on creativity at both: the individual and the group level. The obtained initial results were significantly better than the results obtained with a pure stochastic model (average improvement of 8.2%). Additionally, we empirically confirm some hypothesis about group formation from the organizational studies