Molecular self-assembly appears to be a promising route to bottom-up fabrication of complex objects. Two major obstacles are how to create structures with more interesting organization than periodic or finite arrays, and how to reduce the fraction of side products and erroneous assemblies. Algorithmic self-assembly provides a theoretical model for investigating these questions: the growth of ar...

Steering traffic in cities is a very complex task, since improving efficiency involves the coordination of many actors. Traditional approaches attempt to optimize traffic lights for a particular density and configuration of traffic. The disadvantage of this lies in the fact that traffic densities and configurations change constantly. Traffic seems to be an adaptation problem rather than an opti...

A modification of the well-known PicSOM retrieval system is presented. The algorithm is based on a variant of the self-organizing map algorithm that uses bootstrapping. In bootstrapping the feature space is randomly sampled and a series of subsets are created that are used during the training phase of the SOM algorithm. Afterwards, the resulting SOM networks are merged into one single network w...

The chapter describes the modeling of a material handling system with the production of individual units in a scheduled order. The units represent the agents in the model and are transported in the system which is abstracted as a directed graph. Since the hindrances of units on their path to the destination can lead to inefficiencies in the production, the blockages of units are to be reduced. ...

Progresses made on content-based image retrieval has reactivated the research on image analysis and similarity-based approaches have been investigated to assess the similarity between images. In this paper, the content-based approach is extended towards the problem of image collection summarization and comparison. For these purposes we propose to carry out clustering analysis on visual features...

The classical definition of knowledge management promises to get the right knowledge to the right people at the right time so they can make the best decision [1]. Autonomic systems, on the other hand, are expected to find and apply the right knowledge for self-managing purposes without human intervention. This article discusses the components to be built around a system to enable self-healing a...

EUNITE the European Network of Excellence on Intelligent Technologies for Smart Adaptive Systems (http://www.eunite.org) is launched a competition ”Modeling the Bank’s Client behavior using Intelligent Technologies”. In this work we propose a Case Based Reasoning system whose case database consists of a Self-Organizing Map (SOM). A simple system but efficient, fast and adaptive.

In this paper, a growing hierarchical self-organizing quadtree map (GHSOQM) is proposed and used for a content-based image retrieval (CBIR) system. The incorporation of GHSOQM in a CBIR system organizes images in a hierarchical structure. The retrieval time by GHSOQM is less than that by using direct image comparison using a flat structure. Furthermore, the ability of incremental learning enabl...

Systems biology and cell simulation started together and maintain a controvertible relationship within the scope of global approaches and emergence-driven approaches. Here, we present a multi-agent based model for cell simulation. We describe the whole model creation process, from its scientific project perspective to implementation considerations. The agents interactions model will be particul...

The hierarchical organisation of biological systems plays a crucial role in the pattern formation of gene expression resulting from the morphogenetic processes. Being able to reproduce the systems dynamics at different levels of such a hierarchy might be very useful for studying such a complex phenomenon of self-organisation. In this paper we propose the adoption of the agent-based model as an ...