Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

Agent-based modeling (ABM) is a well-established computational paradigm for simulating
complex systems in terms of the interactions between individual entities that comprise the …

The recent advancement of agent-based modeling is characterized by higher demands on
the pa-rameterization, evaluation and documentation of these computationally expensive …

With advances in computing, agent-based models (ABMs) have become a feasible and
appealing tool to study biological systems. ABMs are seeing increased incorporation into …

Simulation has emerged as a popular method to study the long-term societal consequences
of recommender systems. This approach allows researchers to specify their theoretical …

To tackle the problem of efficiently managing increasingly complex systems, simulation
models have been widely used. This is because simulation is safer, less expensive, and …

This open access book presents a ground-breaking approach to developing micro-
foundations for demography and migration studies. It offers a unique and novel methodology …

GIS and the Social Sciences offers a uniquely social science approach on the theory and
application of GIS with a range of modern examples. It explores how human geography can …

Hospital based emergency departments (EDs) are highly integrated service units devoted
primarily to handling the needs of patients arriving without prior appointment, and with …

A common assumption in choice response time (RT) modeling is that after evidence
accumulation reaches a certain decision threshold, the choice is categorically …