Artificial Life Examples
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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.
Cyberworlds
Author: Tosiyasu L. Kunii
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
The worlds synthesized in the cyberspaces of networked computers are the theme of Cyberworlds. Cyberspaces have come into prominence with the de velopment of the Internet and are expected to expand drastically with the emergence of national and international information systems. The purpose is to discover the architecture and design of cy of the book Cyberworlds berworlds by synthesizing worlds in cyberspaces. The underlying philosophy is crucial to the success of the architecture, and an initial effort is made to delineate it at the beginning of the book. The book's topics are selected to clarify the issues of the philosophy, architecture, and design of cyberworlds through a wide variety of case studies. The approach presented in the book is thus characterized as synthetic rather than analytic. There already are numbers of books with observations and analyses of cyberworlds. They warn of the danger of widespread crimes and accidents in the cyberworlds, for instance. Without a philosophy and methodologies of how to architecturally design and synthesize the cyber worlds, the worlds in cyberspaces tend to be arbitrarily extended, disordered, and, in extreme cases, criminal. This book is intended to benefit readers by providing them with a possible direction to take in deciding how to synthesize worlds in cyberspaces. Cre ating new worlds in new spaces with almost unlimited dimension and scale is an immense challenge. In principle, anyone at any moment can participate in the creation. The book serves as a creator's reference and also as a design guidebook.
Understanding Intelligence
The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior—thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, "new AI," and "behavior-based AI." This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building. The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.