From the Hardcover edition.
Why bad things happen to good people is a topic that has increasingly captured my attention-and for two principal reasons: First, the number of dedicated Christians and Jews to whom this question seems to remain quietly disturbing-in times of personal crisis, occasionally even evoking a desperate plea: Why, God? Second, the effect upon agnostics. This appears even more devastating and often more decisive: "If this is how Christianity or Judaism works in times of need; if this is how God operates, I'm not interested!" Such is not an uncommon agnostic's response. There are, no doubt, a number of other personal, historical, sociological, and family factors in play, which would more precisely define any given agnostic's reluctance to accept God or to join a church or synagogue.
World Audience Publishers, New York
privileged private "internal" cognitive and computational processes. In
contrast, Swarm Intelligence argues that human
intelligence derives from the interactions of individuals in a social world
and further, that this model of intelligence can be effectively applied to
artificially intelligent systems. The authors first present the foundations of
this new approach through an extensive review of the critical literature in
social psychology, cognitive science, and evolutionary computation. They
then show in detail how these theories and models apply to a new
computational intelligence methodology—particle swarms—which focuses
on adaptation as the key behavior of intelligent systems. Drilling down
still further, the authors describe the practical benefits of applying particle
swarm optimization to a range of engineering problems. Developed by
the authors, this algorithm is an extension of cellular automata and
provides a powerful optimization, learning, and problem solving method.
This important book presents valuable new insights by exploring the
boundaries shared by cognitive science, social psychology, artificial life,
artificial intelligence, and evolutionary computation and by applying these
insights to the solving of difficult engineering problems. Researchers and
graduate students in any of these disciplines will find the material
intriguing, provocative, and revealing as will the curious and savvy
* Places particle swarms within the larger context of intelligent
adaptive behavior and evolutionary computation.
* Describes recent results of experiments with the particle swarm
optimization (PSO) algorithm
* Includes a basic overview of statistics to ensure readers can
properly analyze the results of their own experiments using the
* Support software which can be downloaded from the publishers
website, includes a Java PSO applet, C and Visual Basic source
--from the Preface