Artificial cells for information processing: iris classification

[Abstract]: This paper presents a model in the Artificial Embryogene (AE) framework. The presented system tries to model the main functions of the biological cell model. The main part of this paper describes the Gene Regulatory Network (GRN) model, which has a similar processing information capacity as Boole’s Algebra. This paper also describes how to use it to perform the Iris Classification problem which is a pattern classification problem. The aim of this work is to show that the model can solve this kind of problemsInstituto de Salud Carlos III; RD07/0067/0005Instituto de Salud Carlos III; PIO52048Xunta de Galicia;PGIDIT05SIN10501PRXunta de Galicia;PGDIT 07TMT011CTThis work was partially supported by the Spanish Ministry of Education and Culture (Ref TIN2006-13274) and the European Regional Development Funds (ERDF), grant (Ref. PIO52048 and RD07/0067/0005) funded by the Carlos III Health Institute, grant (Ref. PGIDIT 05 SIN 10501PR) and (Ref. PGDIT 07TMT011CT) from the General Directorate of Research of the Xunta de Galicia and grant (File 2006/60, 2007/127 and 2007/144) from the General Directorate of Scientific and Technologic Promotion of the Galician University System of the Xunta de Galicia. Thanks to the Galician Supercomputation Center (CESGA) which has execute a great part of the tests

Vector Field Embryogeny

We present a novel approach toward evolving artificial embryogenies, which omits the graph representation of gene regulatory networks and directly shapes the dynamics of a system, i.e., its phase space. We show the feasibility of the approach by evolving cellular differentiation, a basic feature of both biological and artificial development. We demonstrate how a spatial hierarchy formulation can be integrated into the framework and investigate the evolution of a hierarchical system. Finally, we show how the framework allows the investigation of allometry, a biological phenomenon, and its role for evolution. We find that direct evolution of allometric change, i.e., the evolutionary adaptation of the speed of system states on transient trajectories in phase space, is advantageous for a cellular differentiation task

行動ルールの進化・適応を考慮した社会システムのモデル化と分析

学位の種別: 論文博士審査委員会委員 : （主査）東京大学教授 大橋 弘, 東京大学准教授 白山 晋, 東京大学講師 藤井 秀, 東京大学教授 古田 一, 東京大学准教授 陳 昱University of Tokyo(東京大学

A cellular model for the evolutionary development of lightweight material with an inner structure

We present a model of simulated evolutionary development on the basis of cells as building blocks for growth. In this model, cells grow and interact in a three-dimensional (3D) environment, where development is controlled by a simple genome. Using cell-cell interaction such as differential adhesion, cells sort and form complex arrangements. This developmental process is evolved using a multi-objective evolutionary algorithm to achieve lightweight and stable material with a complex inner structure

A complex systems approach to education in Switzerland

The insights gained from the study of complex systems in biological, social, and engineered systems enables us not only to observe and understand, but also to actively design systems which will be capable of successfully coping with complex and dynamically changing situations. The methods and mindset required for this approach have been applied to educational systems with their diverse levels of scale and complexity. Based on the general case made by Yaneer Bar-Yam, this paper applies the complex systems approach to the educational system in Switzerland. It confirms that the complex systems approach is valid. Indeed, many recommendations made for the general case have already been implemented in the Swiss education system. To address existing problems and difficulties, further steps are recommended. This paper contributes to the further establishment complex systems approach by shedding light on an area which concerns us all, which is a frequent topic of discussion and dispute among politicians and the public, where billions of dollars have been spent without achieving the desired results, and where it is difficult to directly derive consequences from actions taken. The analysis of the education system's different levels, their complexity and scale will clarify how such a dynamic system should be approached, and how it can be guided towards the desired performance