J. Holland

Publications67
h-index33
Citations66,600
Highly Influential Citations3,074
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Adaptation in natural and artificial systems
TLDR
Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
TLDR
Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways.
Asset Pricing Under Endogenous Expectations in an Artificial Stock Market
We propose a theory of asset pricing based on heterogeneous agents who continually adapt their expectations to the market that these expectations aggregatively create. And we explore the implications…
Genetic Algorithms and Machine Learning
TLDR
There is no a priori reason why machine learning must borrow from nature, but many machine learning systems now borrow heavily from current thinking in cognitive science, and rekindled interest in neural networks and connectionism is evidence of serious mechanistic and philosophical currents running through the field.
Hidden Order: How Adaptation Builds Complexity
Studying Complex Adaptive Systems
  • J. Holland
  • Computer Science
    J. Syst. Sci. Complex.
  • 1 March 2006
TLDR
This paper suggests ways to modify research methods and tools, with an emphasis on the role of computer-based models, to increase the understanding of complex adaptive systems.
Cognitive systems based on adaptive algorithms
TLDR
The type of cognitive system studied here has a set of interacting elementary productions, called classifiers, and a performance algorithm that directs the action of the system in the environment and modifies the set of classifiers so that variants of good classifiers persist and new, potentially better ones are created in a provably efficient manner.
The royal road for genetic algorithms: Fitness landscapes and GA performance
TLDR
An initial set of proposed feature classes are described, one such class (Royal Road) is described in detail, and some initial experimental results concerning the role of crossover and buildingblocks on landscapes constructed from features of this class are presented.
Emergence: Chaos to Order
TLDR
In Emergence, John Holland dramatically shows that a theory of emergence can predict many complex behaviors, and has much to teach us about life, the mind, and organizations.
Language Is a Complex Adaptive System: Position Paper
Language has a fundamentally social function. Processes of human interaction along with domain-general cognitive processes shape the structure and knowledge of language. Recent research in the…
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