This paper presents a simple decentralised morphology control mechanism for a swarm of self-assembling robots. Each robot in the system is fully autonomous and controlled using a behaviour-based approach with only infrared-based local sensing and communications. A graph-based recruitment strategy is proposed to guide the growth of 2D planar organisms, and local communications are used to self-o...

Collective motion is an intriguing phenomenon, especially considering that it arises from a set of simple rules governing local interactions between individuals. In theoretical models, these rules are normally assumed to take a particular form, possibly constrained by heuristic arguments. We propose a new class of models, which describe the individuals as agents, capable of deciding for themsel...

Contents 1. Introduction 2. Defining complexity 3. The evolution of complexity in the natural realm 4. The self-organizing universe: perpetual novelty in the natural world 5. Coping with complexity: the historical, social, and human, implications of complexity 6. Exploring complexity: agent-based genetic and emergent models of complex systems 7. Knowledge management 8. Organizational learning a...

This paper presents an agent-based model of worker protest. Workers have varying degrees of grievance depending on the difference between their wage and the average of their neighbors. They protest with probabilities proportional to grievance, but are inhibited by the risk of being arrested—which is determined by the ratio of coercive agents to probable rebels in the local area. We explore the ...

Understanding epidemic dynamics has always been a challenge. As witnessed from the ongoing Zika or the seasonal Influenza epidemics, we still need to improve our analytical methods to better understand and control epidemics. While the emergence of complex sciences in the turn of the millennium have resulted in their implementation in modelling epidemics, there is still a need for improving our ...

We present in this paper a generic methodology based on genetic automata for modelling community detection. With Communities, we deal with dynamic organizations which are self-organized from two aspects, the spatial one and the functional one. We propose in this paper a general methodology which extends cellular based modelling like Schelling models to more sophisticated approaches based on age...

In this chapter we consider the effects of exogenous energy shocks on an agentbased macroeconomic system and study the out-of-equilibrium dynamics. We introduce automatic stabilizers that allow the artificial economy to absorbe the shocks. Two types of macroeconomic stabilization policies are implemented: a consumer subsidy scheme that compensates households for their loss in purchasing power, ...

A key challenge in Grid computing is the achievement of efficient and self-organized management of the Virtual Organizations composing the system. Grids are often very heterogeneous, incorporating high dynamicity and unpredictability. Introducing higher levels of adaptation and learning in the coordination protocols may help coping with complexity. We provide a solution based on a self-organize...

Differences in personality between individuals are usually attributed to genetic differences, and seldom to differences in experience. In this study, we investigated to what degree personalities may result from differences in experience, that are caused by self-organisation of behaviour and chance. We use an individual-based model to generate such an explanation for the experimental findings on...

Explaining and modelling crime patterns is an exercise that has taxed policy-makers, criminologists, social reformers and the police ever since the first crime patterns were recorded. Crime is a particularly difficult phenomenon to model because of its inherent complexity; crime patterns are built up from a multitude of human-human and humanenvironment micro-interactions that ultimately lead to...