Artificial Life Models In Software Pdf
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Artificial Life Models in Software
Author: Maciej Komosinski
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-06-13
The advent of powerful processing technologies and the advances in software development tools have drastically changed the approach and implementation of computational research in fundamental properties of living systems through simulating and synthesizing biological entities and processes in artificial media. Nowadays realistic physical and physiological simulation of natural and would-be creatures, worlds and societies becomes a low-cost task for ordinary home computers. The progress in technology has dramatically reshaped the structure of the software, the execution of a code, and visualization fundamentals. This has led to the emergence of novel breeds of artificial life software models, including three-dimensional programmable simulation environment, distributed discrete events platforms and multi-agent systems. This second edition reflects the technological and research advancements, and presents the best examples of artificial life software models developed in the World and available for users.
Artificial Life Models in Software
Author: Andrew Adamatzky
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-01-20
An informal introduction and guidance to modern software tools for modeling and simulation of life-like phenomena, this book offers detailed reviews of contemporary software for artificial life for both professionals and amateurs.
Agent-Based Models of Geographical Systems
Author: Alison J. Heppenstall
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-11-24
This unique book brings together a comprehensive set of papers on the background, theory, technical issues and applications of agent-based modelling (ABM) within geographical systems. This collection of papers is an invaluable reference point for the experienced agent-based modeller as well those new to the area. Specific geographical issues such as handling scale and space are dealt with as well as practical advice from leading experts about designing and creating ABMs, handling complexity, visualising and validating model outputs. With contributions from many of the world’s leading research institutions, the latest applied research (micro and macro applications) from around the globe exemplify what can be achieved in geographical context. This book is relevant to researchers, postgraduate and advanced undergraduate students, and professionals in the areas of quantitative geography, spatial analysis, spatial modelling, social simulation modelling and geographical information sciences.