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Learning Classifier Systems
Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique survey of the current state of the art of LCS and highlights some of the most promising research directions. The first part presents various views of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluating rule utility, and extensions to existing classifier system models. The final part is dedicated to promising applications in areas like data mining, medical data analysis, economic trading agents, aircraft maneuvering, and autonomous robotics. An appendix comprising 467 entries provides a comprehensive LCS bibliography.
Applications of Learning Classifier Systems
The field called Learning Classifier Systems is populated with romantics. Why shouldn't it be possible for computer programs to adapt, learn, and develop while interacting with their environments? In particular, why not systems that, like organic populations, contain competing, perhaps cooperating, entities evolving together? John Holland was one of the earliest scientists with this vision, at a time when so-called artificial intelligence was in its infancy and mainly concerned with preprogrammed systems that didn't learn. that, like organisms, had sensors, took Instead, Holland envisaged systems actions, and had rich self-generated internal structure and processing. In so doing he foresaw a...
Encounter the Spirit
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Learning Classifier Systems
This book constitutes the refereed proceedings of the 5th International Workshop on Learning Classifier Systems, IWLCS 2003, held in Granada, Spain in September 2003 in conjunction with PPSN VII. The 10 revised full papers presented together with a comprehensive bibliography on learning classifier systems were carefully reviewed and selected during two rounds of refereeing and improvement. All relevant issues in the area are addressed.
Supernatural
"There's no substitute for the supernatural power of the Holy Spirit in your life. Maybe you're growing dissatisfied with the weak distractions offered both by our culture and, oftentimes, our churches. When it all sinks in, spirituality and ministry without the Holy Spirit is hollow. Join Carolyn Moore in rediscovering the supernatural! With a biblical basis and practical application, you'll learn how to work alongside the Spirit, and you'll become watchful for the powerful inbreakings of God's kingdom all around you."--Publisher.
Hearing the Voices of Jonestown
When over 900 followers of the Peoples Temple religious group committed suicide in 1978, they left a legacy of suspicion and fear. Most accounts of this mass suicide describe the members as brainwashed dupes and overlook the Christian and socialist ideals that originally inspired Peoples Temple members. Hearing the Voices of Jonestown restores the individual voices that have been erased so that we can better understand what was created—and destroyed—at Jonestown, and why. Piecing together information from interviews with former group members, archival research, and diaries and letters of those who died there, Maaga describes the women leaders as educated political activists who were pass...
Michigan Reports
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