Banking is a popular topic for empirical and methodological research that applies
operational research (OR) and artificial intelligence (AI) methods. This article provides a …

The key intent of this work is to present a comprehensive comparative literature survey of the
state-of-art in software agent-based computing technology and its incorporation within the …

© 2020, University of Surrey. All rights reserved. The Overview, Design concepts and Details
(ODD) protocol for describing Individual-and Agent-Based Models (ABMs) is now widely …

Introduction Applying a complex systems perspective to public health evaluation may
increase the relevance and strength of evidence to improve health and reduce health …

With the rise of machine learning (ML), humans are no longer the only ones capable of
learning and contributing to an organization's stock of knowledge. We study how …

Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …

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 …

Animal social networks are descriptions of social structure which, aside from their intrinsic
interest for understanding sociality, can have significant bearing across many fields of …

This paper addresses the background and current state of the field of agent-based
modelling and simulation (ABMS). It revisits the issue of ABMS represents as a new …

Modeling is essential to characterize and explore complex societal and environmental
issues in systematic and collaborative ways. Socio-environmental systems (SES) modeling …