Developing an agent-based model on how different individuals solve complex problems
Abstract: 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 agent-based 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.
Author: Ipek Bozkurt
Journal Code: jptindustrigg150017
