This work addresses and aims to fulfil a very clear need in teaching biosystem engineering. When introducing students to the complexity of soil processes, one of the frustrations that teachers ofen experience is the impossibility to demonstrate practically, in the lab, some of the concepts and processes discussed in class. Either the experiments take far longer than a typical laboratory session...

Using agent-basedmodeling approach, in this paper, we study self-organized dynamics of interacting agents in the presence of chat Bots. Different Bots with tunable “human-like” attributes, which exchange emotional messages with agents, are considered, and collective emotional behavior of agents is quantitatively analysed. In particular, using detrended fractal analysis we determine persistent f...

Ambient Intelligence systems (AmI) are normally composed of networked heterogeneous devices with critical resource limitations. One of the biggest requirements of AmI systems is that they should be capable of self-management in order to adapt their behavior and resources to environmental conditions and variable device resources. Autonomous agents are a good option to endow AmI systems with self...

AgentBase.org allows for Agent Based Modeling (ABM) directly in the browser. One can edit, save, and share models without installing any software or even reloading the page. Models use the AgentBase Library, and are written in CoffeeScript, which is instantly interpreted as JavaScript. The AgentBase Library provides a rich set of resources for moving and drawing agents, neighbour detection, and...

Studying the complex phenomenon of pattern formation created by the gene expression is a big challenge in the field of developmental biology. This spatial self-organisation autonomously emerges from the morphogenetic processes and the hierarchical organisation of biological systems seems to play a crucial role. Being able to reproduce the systems dynamics at different levels of such a hierarchy...

This paper presents a generic model for a cognitive agent based on the hypothesis that the cognitive activity has three main characteristics: self-organization, evolutionary nature and history dependence. According to this model, a cognitive agent presents three levels: reactive, instinctive and cognitive. Each level, together with its lower levels, is intended to model a complete agent, each n...

In recent years the concept of emergence has gained much attention as ICT systems have started exhibiting properties usually associated with complex systems. Although emergence creates many problems for engineering complex ICT systems by introducing undesired behaviour, it also offers many possibilities for advance in the area of adaptive self-organizing systems. However, at the moment the inab...

One of the main characteristics of complex systems is that the interrelations between the entities composing the system are not permanently established but evolve along time. As opposed to complicated systems, the structure of complex systems also evolve in a dynamic organizational process. When studying complex systems, self-organization and emergent phenomena must therefore be taken into acco...

Can self-organization of scientific communication be specified by using literature-based indicators? In this study, we explore this question by applying entropy measures to typical "Mode2" fields of knowledge production. We hypothesized these scientific systems to be developing from a self-organization of the interaction between cognitive and institutional levels: European subsidized research p...

We study kinetic representations of flocking models. They arise from agent-based models for self-organized dynamics, such as Cucker-Smale [5] and Motsch-Tadmor [11] models. We prove the flocking behavior for the kinetic descriptions of flocking systems, which indicates a concentration in velocity variable in infinite time. We propose a discontinuous Galerkin method to treat the asymptotic δ -si...