Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Dave Cliff
Biography of Dave Cliff, currently Professor of Computer Science at University of Bristol, previously Co-founder and CEO at Syritta Algorithmics Ltd and Co-founder and CEO at Syritta Algorithmics Ltd.
Dave Cliff
None
Dave Cliff
None
What If Freud Was Wrong?
In his first book, Changing the Way We Feel Inside, Dave Cliff told of his struggles with depression and explained how, despite years of medications and the best efforts of mental health professionals, he was nowhere nearer a solution. Then, after a series of foundational revelations, he carefully rebuilt his mental health using sound scriptural principles. In this second book, What If Freud was Wrong?, David examines the teachings of Freud and his followers, and explains why their philosophies are incapable of meeting the pressing needs of society today. In addition, David gives further insights-such as the seven pillars and the seven rooms of our soul-into why mental health problems arise, how to counter them, and how to enjoy lasting results. This book offers no instant cure. Rather, it is a call to a renewed lifestyle, one of closer relationship with the Lord and of a greater devotion to His Word.
From Animals to Animats 3
August 8-12, 1994, Brighton, England From Animals to Animats 3 brings together research intended to advance the fron tier of an exciting new approach to understanding intelligence. The contributors represent a broad range of interests from artificial intelligence and robotics to ethology and the neurosciences. Unifying these approaches is the notion of "animat" -- an artificial animal, either simulated by a computer or embodied in a robot, which must survive and adapt in progressively more challenging environments. The 58 contributions focus particularly on well-defined models, computer simulations, and built robots in order to help characterize and compare various principles and architectur...
An Unsung Cat
An Unsung Cat explores the life and music of jazz saxophonist, Warne Marsh. Safford Chamberlain follows the artist from his start in youth bands like the Hollywood Canteen Kids and The Teen-Agers through his studies under Lennie Tristano, his brilliant playing of the 1950s, his disappearance from public view in the 1960s, his re-emergence in the 1970s, and his belated recognition in the 1980s as one of the finest tenor players of the post-World War II era. Through interviews with the Marsh family and friends, Chamberlain offers an inside view of Marsh's private life, including his struggles with drug abuse. Detailed analysis of outstanding performances complements the personal story, while a...
Advances in Artificial Life
This volume contains 71 revised refereed papers, including seven invited surveys, presented during the Third European Conference on Artificial Life, ECAL '95, held in Granada, Spain in June 1995. Originally AL was concerned with applying biologically inspired solutions to technology and with examining computational expertise in order to reproduce and understand life processes. Despite its short history, AL now is becoming a mature scientific field. The volume reports the state of the art in this exciting area of research; there are sections on foundations and epistemology, origins of life and evolution, adaptive and cognitive systems, artificial worlds, robotics and emulation of animal behavior, societies and collective behavior, biocomputing, and applications and common tools.
Boys' Life
Boys' Life is the official youth magazine for the Boy Scouts of America. Published since 1911, it contains a proven mix of news, nature, sports, history, fiction, science, comics, and Scouting.
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.
Learning Robots
Robot learning is a broad and interdisciplinary area. This holds with regard to the basic interests and the scienti c background of the researchers involved, as well as with regard to the techniques and approaches used. The interests that motivate the researchers in this eld range from fundamental research issues, such as how to constructively understand intelligence, to purely application o- ented work, such as the exploitation of learning techniques for industrial robotics. Given this broad scope of interests, it is not surprising that, although AI and robotics are usually the core of the robot learning eld, disciplines like cog- tive science, mathematics, social sciences, neuroscience, bi...
