The ecosystem service concept has emphasized the role of people within socio-ecological
systems (SESs). In this paper, we review and discuss alternative ways of representing …

The use of agent-based models (ABMs) for investigating land-use science questions has
been increasing dramatically over the last decade. Modelers have moved from 'proofs of …

Agent-based simulation has become increasingly popular as a modeling approach in the
social sciences because it enables researchers to build models where individual entities …

Conflict is a major facet of many environmental challenges of our time. However, growing
conflict complexity makes it more difficult to identify win-win strategies for sustainable conflict …

To cope with data limitations and to provide insight into the dynamics of LUCC for local
stakeholders in the Municipality of Koper, Slovenia, we constructed an ABM (loosely …

Traditionally the natural sciences, particularly physics, have been regarded as the
Gatekeepers of Truth. As such the legitimacy of others forms of knowledge have been called …

Various biologically inspired approaches like Particle Swarm Optimization (PSO), Ant
Colony Optimization (ACO), and Cultural Algorithms have been employed to solve problems …

This study presents an experimental approach to strategic behavior and economic learning
by integrating game theory and Genetic Algorithms in a novel heuristic-based simulation …

In the multidisciplinary field of economic behavior, traditional theories often struggle to
capture the inherently complex nature of human decision-making processes. Building upon …

This paper explores memory mechanisms in complex socio-technical systems, using a
mobility de-mand model as an example case. We simplified a large-scale agent-based …