Purpose: Research that focuses on the emotional, mental, behavioral and cognitive capabilities
of individuals has been abundant within disciplines such as psychology, sociology, and
anthropology, among others. However, when facing complex problems, a new perspective to
understand individuals is necessary. The main purpose of this paper is to develop an agentbased
model and simulation to gain understanding on the decision-making and problem-solving
abilities of individuals.
Design/methodology/approach: The micro-level analysis modeling and simulation paradigm
Agent-Based Modeling Through the use of Agent-Based Modeling, insight is gained on how
different individuals with different profiles deal with complex problems. Using previous
literature from different bodies of knowledge, established theories and certain assumptions as
input parameters, a model is built and executed through a computer simulation.
Findings: The results indicate that individuals with certain profiles have better capabilities to
deal with complex problems. Moderate profiles could solve the entire complex problem,
whereas profiles within extreme conditions could not. This indicates that having a strong
predisposition is not the ideal way when approaching complex problems, and there should
always be a component from the other perspective. The probability that an individual may use
these capabilities provided by the opposite predisposition provides to be a useful option.Originality/value: The originality of the present research stems from how individuals are
profiled, and the model and simulation that is built to understand how they solve complex
problems. The development of the agent-based model adds value to the existing body of
knowledge within both social sciences, and modeling and simulation.
