Genetic Algorithms and Artificial Life Resources

Genetic algorithms are part of the field of genetic and evolutionary computation. This algorithm plays an essential role in several artificial life models - including inheritance, mutation, and selection. Genetic algorithm is a fast growing discipline of artificial intelligence taken from Darwin's Theory of Evolution. Complex systems are solved by the evolution of genetic algorithms.

Cybernetics and Systems Theory

• What are Cybernetics and Systems Science?: This resource explains what this academic interdisciplinary concept is
• A Cybernetic System: Here you will find a model of a Cybernetic system
• Systems, Man, and Cybernetics Society: The Society encourages research, practice, and engineering cybernetics
• Introduction to Cybernetics: A three-part introduction to cybernetics by W. Ross Ashby
• Definitions of Cybernetics: The American Society of Cybernetics provides several definitions and descriptions of cybernetics

Development

• What is Genetic Engineering?: Dr. Ricarda Steinbrecher answers the question, "What is genetic engineering?"
• Genetic Networks of Development: This article explores the behavior of bioinformatics in the gene expression of mice embryos
• Genomic Imprinting: An explicit look into genomic imprinting
• Evolution of Genetic Codes: Here you will find an abstract article on using analytical and computation methods to develop evolutionary genetic codes

Discrete Dynamical Systems

• Discrete Dynamics Lab: Andy Wuensche offers tools in researching multi-value Discrete Dynamical Networks
• Neural Networks: Seven lecture notes on the introduction of neural networks
• Discrete Dynamic Systems: Tom Malloy explores principles of nonlinear dynamic systems technique
• Revisiting the Edge of Chaos: The results Packard’s experiment to study the occurrence of evolved Cellular Automata rules in the meaning of Christopher Langton’s parameter
• Evolving Cellular Automata: A look into the results of the Evolving Cellular Automata Project

Evolutionary and Adaptive Systems

• Genetic Algorithms: An in-depth interactive tutorial on the introduction to genetic algorithms
• Adaptive Systems Laboratory: The Krasnow Institute primary goal is to examine adaptive systems in natural and synthetic environments
• Complex Adaptive Systems: J. Stephen Lansing focuses on the study of complex adaptive systems
• Introduction to Genetic Algorithms: A slideshow on genetic algorithm methods

Evolutionary Computation and Intelligent Systems

• Evolutionary Computation and Data Mining: Andrew Kusiak of the Intelligent Systems Laboratory explores molecular and DNA computing with evolutionary computation and data mining
• Genetic Algorithms and Evolutionary Computation: Adam Marczyk describes the history, strength, and limitations of genetic algorithms
• Building Complex Worlds: Use these applications to produce evolutionary computation
• Architecture for Adaptive Intelligent Systems: Barbara Hayes-Roth demonstrates the architecture of an experimental adaptive intelligent system, the Guardian, which is an instrument for an intensive care unit
• Guide to Evolutionary Computation: A guide to help those who are new to Evolutionary Computation
• Artificial Life in Evolution: A summary of what's taught at Computing Beyond Silicon Summer School on artificial life through evolutionary computation

General Resource Lists

• Artificial Life: University of Toronto’s Department of Psychology provides insightful information on artificial life and evolution
• Introduction to Genetic Programming: Matthew Walker's provides the basics of genetic programming
• Organization, Adaptation And Complexity: Mark A. Bedau of the Department of Philosophy of Reed College explores the organization, adaptation and complexity of artificial life
• Self-Organization: A guide to self-organization and FAQs on the topic
• Understanding Evolution: A guide to understanding evolution

Philosophy and Conceptual Issues

• Artificial Life as Philosophy: A summary of the paper Brainchildren, Essays on Designing Minds by Daniel Dennett
• Evolution, Complexity and Philosophy: Philosophy of evolutionary theories
• Evolution and Philosophy: A look into Darwin’s theory and the impact of philosophy and science
• Exploring Evolution in Philosophy: Kent Van Cleave’s explores evolutions in philosophy
• System Cybernetics and Contemporary Philosophy: The articles focus on the characteristics of Systems Cybernetics and its importance in modern philosophy

Robotics and Autonomous Agents

• Intelligent Robotics and Autonomous Agents: A brief summary of the manuscript, Intelligent Robotics and Autonomous Agents
• Automatic Creation of an Autonomous Agent: Dario Floreano and Francesco Mondada illustrate the outcome of a neural network robot
• History of Robotics: The history of robotics and its benefits to civilization

Self-Organization and Complexity

• Constructing Autopoiesis: The philosophy of the theory of construction of the self-organization system
• Self-Organizing: Describes the many methods of self-organization
• Self-Organization and Complexity: An explicit look at self-organization and complexity in natural sciences

Social Sciences

• Essentials of Evolutionary Thought: Explains the sociology of knowledge and the necessities of developing this knowledge
• Evolutionary Psychology and Sociology: Chris Lucas explores evolutionary psychology and sociology in genetic behavior
• Emergence and Artificial Life: The paper focuses on developing observable facts of artificial life
• Evolution & Sociology: In the Section of the American Sociological Association Robert L. Burgess of Penn State University writes on the importance of evolutionary biology in human development