In this study X-machines and hierarchical organized Xmachines will be used to model different aspects of the behaviour of social insect communities. The model is organized as a community of complex agents showing similarities to networks of P systems.

The Agent Rescue Emergency Simulator (ARES) system provides a simplified rescue scenario similar to Robocup Rescue for use in the educational or research fields when evaluating multi-agent systems. The environment within ARES abstracts ideas down to key features while still allowing for a wide range of scenarios requiring different skills to be presented to the agents. This is achieved by combi...

While by all standards the macroeconomic system is qualified to be a complex adaptive system, mainstream macroeconomics is not capable of demonstrating this feature. Recent applications of agent-based modeling to macroeconomics define a new research direction, which demonstrates how the macroeconomic system can be modeled and studied as a complex adaptive system. This paper shall review the dev...

There have been numerous frameworks and approaches developed for the study of complex ecological systems. For the most part, these approaches require extensive amounts of information. The aim of this paper is use Agent-Based Models to simulate complex ecological systems and examine overarching trends, using the Winton Wetlands in Victoria, Australia as a case study. The study showed that even t...

Variable structure refers to the ability of a system to dynamically change its structure according to different situations. It provides component-based modeling and simulation environments with powerful modeling capability and the flexibility to design and analyze complex systems. In this paper, we discuss variable structure, specifically the structure and interface change capability, in DEVS-b...

The design of multiagent simulations devoted to complex systems, addresses the issue of modelling behaviors that are involved at different space, time, behavior scales, each one being relevant to represent a feature of the phenomenon. We propose here a generic formalism intented to represent multiple environments, endowed with their own spatiotemporal scales and with behavioral rules for the ag...

Metals production and consumption networks are complex Large Scale Socio-Technical Systems, consisting of many technical installations, companies operating them, at a global scale, with large environmental impacts. Understanding their dynamics and behavior requires models that are capable of capturing technical, social, economic and other dimensions. Modeling in the metals domain has traditiona...

We use an agent-based model to examine the influence of word-of-mouth communication in environments where agents select products by using positive referrals from other satisfied agents as well as their own preferences and perceptions. The role of referrals is illustrated using a complex decision environment that incorporates a number of psychological realities. Using the model, we find evidence...

The modelling and simulation of the interaction among vehicles and pedestrians during crosswalking is an open challenge for both research and practical computational solutions supporting urban/traffic decision makers and managers. The social cost of pedestrians’ risky behaviour pushes the development of a new generation of computational models integrating analytical knowledge, data and experien...

This paper presents an agent-based model that simulates the dynamics of child maltreatment and child maltreatment prevention. The developed model follows the principles of complex systems science and explicitly models a community and its families with multi-level factors and interconnections across the social ecology. This makes it possible to experiment how different factors and prevention str...