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An excellent intro to a new science, Fév 18 2001
While the concept of artificial life has been around at least since humans developed self-awareness, the commensurate decline of religion and rise of the scientific method was necessary for it to become a point of real debate. However, it was not until September 1987 when the event occurred that established a-life as an academic discipline, namely a conference devoted to its study. This work uses that event as a starting point, and does a superb job of presenting nearly all perspectives, including historical.
Like its counterpart, artificial intelligence, the discipline of a-life suffers from a lack of definition. There is no agreement on what life or intelligence are. Additional disagreement arises over the following distinctive descriptions of life.
(a) Objects such as rocks can be assigned a life (intelligence) value of zero and as we move upward to humans and beyond, the measure of life (intelligence) characteristics is described by a smooth, continuous function where the first derivative never becomes very large, but is always positive. There is no clearly discernible boundary between life and non-life.
(b) Starting from the same initial position as (a), the derivative stays close to zero for some time, and then suddenly becomes unbounded, as the matter now possesses the fundamental essence of life (intelligence). That point of the vertical derivative is the boundary point between animate and inanimate objects.
Much of this book deals with cellular automata and the algorithms used to create them. Like so many new, perhaps revolutionary disciplines, the major players tend to be free spirits. Many of the people described here bounced around before finding their ecological niche in a-life. With the exception of the originators, John von Neumann and John Horton Conway, those who established the study of cellular automata as an academic discipline were academic outsiders who literally created it from nothing. The explanation of that is very well done. While most of the work has been done by computer, no previous knowledge is necessary to understand the text.
One item could have been better handled, but that is largely due to the problems with definitions. Like the workers in chaos, a-lifers tend to see what they want to see. For example, simple rules are used to create an image that either looks or acts like something known to be alive and this is used to argue that life is being created or that the rules that create life are simple. Which is an extremely weak argument. What is being created are items that human eyes interpret as looking like life, and as all psychologists know, the human brain processes images with a bias towards previous experience. The devil's advocate against is a shadow here. However, it is difficult to argue in the negative when you are aiming at a nebulous target.
Whatever your interest in a-life, you will find something of value in this book. Biologists and philosophers who teach general education courses will also find a good deal of discussion material. The hypothetical qualification has been removed form the debate, as there are now objects to argue about.
Published in Journal of Recreational Mathematics, reprinted with permission
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