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Emergence
We are confronted with emergent systems everywhere and Holland shows how a theory of emergence can predict many complex behaviours in art and science. This book will appeal to scientists and anyone interested in scientific theory.
Complexity
In this very short introduction, John Holland presents an introduction to the science of complexity. Using examples from biology and economics, he shows how complexity science models the behaviour of complex systems.
Adaptation in Natural and Artificial Systems
Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of...
Hidden Order
Basic elements - Adaptive agents - Echoing emergence - Simulating echo - Toward theory.
Signals and Boundaries
An overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal/boundary hierarchies.
Adaptive Control of Ill-Defined Systems
There are some types of complex systems that are built like clockwork, with well-defined parts that interact in well-defined ways, so that the action of the whole can be precisely analyzed and anticipated with accuracy and precision. Some systems are not themselves so well-defined, but they can be modeled in ways that are like trained pilots in well-built planes, or electrolyte balance in healthy humans. But there are many systems for which that is not true; and among them are many whose understanding and control we would value. For example, the model for the trained pilot above fails exactly where the pilot is being most human; that is, where he is exercising the highest levels of judgment,...
Induction
Two psychologists, a computer scientist, and a philosopher have collaborated to present a framework for understanding processes of inductive reasoning and learning in organisms and machines. Theirs is the first major effort to bring the ideas of several disciplines to bear on a subject that has been a topic of investigation since the time of Socrates. The result is an integrated account that treats problem solving and induction in terms of rule�based mental models. Induction is included in the Computational Models of Cognition and Perception Series. A Bradford Book.
Aha..... That Is Interesting!: John Holland, 85 Years Young
John Holland is one of the few scientists, who all by themselves and by their pursuits, helped change the course of science and the wealth of human knowledge. There is hardly a field of science or problems, that is not affected by John's work on complexity and in particular, complex adaptive systems. On the occasion of his 85th birthday, many of his friends wrote about John, about facets of this remarkable man that only people close to him can know and tell.This book collects those stories highlighting aspects of the creation of complexity science that will most likely not be found in the books on John's works.The stories and anecdotes about his quests, his collaborators, and his friends, show his incredible mind, his boyish curiosity and explorative energy, his philosophy of life, his enormous hospitality and natural inclination to make friends.
Selected Papers of John H Holland
With his work on computer logic, John H Holland became one of the most important founders of modern computer science. People who knew John H Holland were all amazed and deeply influenced by his incredibly imaginative and creative mind. He produced many more ideas than he could follow up in his life time. This selection of his papers in the field of computer logic entails many of his explored and unexplored ideas. Revisiting the explored ideas and exploring the unexplored ones should be of great interest to scientists of all ages, and of great value to the current research not only in computer science but in many other fields as well.
Foundations of Learning Classifier Systems
This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and written by acknowledged authorities in their area - as well as a relevant historical original work by John Holland.
