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MS. GUIDANCE ARTIFICIAL LIFE
Ms. Guidance on Artificial Life
see also: Ms. Guidance on Robotics
PART 1
GENETIC ALGORITHMS
AUTONOMOUS AGENTS
FUZZY SYSTEMS
NEURAL NETWORKS
CELLULAR AUTOMATAS
PART 2 GENETIC ART
GENETIC ALGORITHMS
Introductions, Tutorials and FAQs
Q1.1: What's a Genetic Algorithm (GA)?
Genetic Algorithms: An Introduction
Introduction to Genetic Algorithms
An Online Genetic Algorithm Tutorial by Mark Nicholson
GENETIC ALGORITHMS More Links Disclaimer & Feedback
Introduction to the Genetic Algorithms Module
Genetic Algorithm Questions and Answers
FAQ: comp.ai.genetic part 2/6 (A Guide to Frequently Asked Questions)
Genetic Algorithms FAQ
AI-related FAQs
List of Newsgroups, Journals, Mailing ListsBibliographies
Genetic Programming at NASA.1. Genetic Programming Software * Bibliographies * Papers * GP FAQ * GP Tutorial *
2. Genetic AlgorithmsSoftware * People * Papers * Bibliographies * Tutorials *3. Artificial IntelligenceFAQ * Newsgroups * Machine Learning * Fuzzy Logic * Neural Nets * Robots *
MIT Artificial Intelligence Laboratory Home Page
1. AI Resources
2. Library catalogs and information
3. MIT AI lab projects and publications
Including: Robotics and Machine Vision, Learning Systems, Virtual and Enhanced Reality,
Computing Systems and Environments, Software Agents
CMU Artificial Intelligence Repository
The CMU Artificial Intelligence Repository was established by Mark Kantrowitz in 1993 to collect files, programs and
publications of interest to Artificial Intelligence researchers. This repository is by any means useful, if you realy want to conduct a research on Genetic Algorithms use the available search tool.
ANU Bioinformatics
Software:1. DIPLOMO - Phylogenetic Workbench for PC
2. DELTA - DEscriptional Language for TAxonomy for PC
Illinois Genetic Algorithms Laboratory (IlliGAL)
The work at IlliGAL includes theoretical developments and practical applications of GAs. For more information about IlliGAL
investigations, see the IlliGAL ARCHIVE (orderform) which contains technical reports, journal articles, and source code.
The Genetic Algorithms GroupUnder the
direction of Kenneth A. De Jong, the Genetic Algorithms Group (GAG) at George Mason University in Fairfax, Virginia. Group members are working on a variety of research projects including GA theory, coevolutionary algorithms,
decentralized GAs, representation issues, evolutionary microeconomics, the application of GAs to molecular biology, and GA-based
machine learning. There is a list of publications.
PostScript copies of most of these papers are available online.
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