The fact that relatively simple entities, such as particles or neurons, or even ants or bees or
humans, give rise to fascinatingly complex behaviour when interacting in large numbers is …

Researchers have made considerable advances in the quantitative characterization,
understanding, and control of nonliving systems. We are rather familiar with physical and …

We investigate the spatial Public Goods Game in the presence of fitness-driven and
conformity-driven agents. This framework usually considers only the former type of agents …

Leaving the joint enterprise when defection is unveiled is always a viable option to avoid
being exploited. Although loner strategy helps the population not to be trapped into the …

Agent-based simulations are models where multiple entities sense and stochastically
respond to conditions in their local environments, mimicking complex large-scale system …

Tolerance implies enduring trying circumstances with a fair and objective attitude. To
determine whether evolutionary advantages might be stemming from diverse levels of …

Agent based models (ABM) s are increasingly used in social science, economics,
mathematics, biology and computer science to describe time dependent systems in …

A complex system is a system composed of many interacting parts, often called agents,
which displays collective behavior that does not follow trivially from the behaviors of the …

Since the advent of computers, the natural and engineering sciences have enormously
progressed. Computer simulations allow one to understand interactions of physical particles …

Mathematical modeling and analysis of collective behavior of multi-agent systems is an
important tool that will enable researchers to study even very large systems, validate agent …