The brutal, dark and fascinating world of Starcraft comes alive in this collection of never-before-seen thrilling adventures. Why We Fight In this profoundly moving introduction to the Starcraft universe, the three species in Starcraft are examined--and what drives their war for survival will shock and awe. Thundergod In a story by Richard Knaak, a Thor driver's ego leads him and two partners to try to pull of a heist in the middle of a war zone. Weapon of War A psionic six-year-old boy is at the center of a conflict between a Terran mining colony and the Zerg. Heavy Armor A Viking pilot must battle his mentor--for the lives of an entire colony.

Understanding how memories are induced and maintained is one of the major outstanding questions in modern neuroscience. This is difficult to address in the mammalian brain due to its enormous complexity, and invertebrates offer major advantages for learning and memory studies because of their relative simplicity. Many important discoveries made in invertebrates have been found to be generally applicable to higher organisms, and the overarching theme of the proposed will be to integrate information from different levels of neural organization to help generate a complete account of learning and memory.

Edited by two leaders in the field, "Invertebrate Learning and Memory "will offer a current and comprehensive review, with chapters authored by experts in each topic. The volume will take a multidisciplinary approach, exploring behavioral, cellular, genetic, molecular, and computational investigations of memory. Coverage will include comparative cognition at the behavioral and mechanistic level, developments in concepts and methodologies that will underlie future advancements, and mechanistic examples from the most important vertebrate systems (nematodes, molluscs, and insects). Neuroscience researchers and graduate students with an interest in the neural control of cognitive behavior will benefit, as will as will those in the field of invertebrate learning.
Presents an overview of invertebrate studies at the molecular / cellular / neural levels and correlates findings to mammalian behavioral investigationsLinking multidisciplinary approaches allows for full understanding of how molecular changes in neurons and circuits underpin behavioral plasticityEdited work with chapters authored by leaders in the field around the globe - the broadest, most expert coverage availableComprehensive coverage synthesizes widely dispersed research, serving as one-stop shopping for comparative learning and memory researchers

Change of Representation and Inductive Bias One of the most important emerging concerns of machine learning researchers is the dependence of their learning programs on the underlying representations, especially on the languages used to describe hypotheses. The effectiveness of learning algorithms is very sensitive to this choice of language; choosing too large a language permits too many possible hypotheses for a program to consider, precluding effective learning, but choosing too small a language can prohibit a program from being able to find acceptable hypotheses. This dependence is not just a pitfall, however; it is also an opportunity. The work of Saul Amarel over the past two decades has demonstrated the effectiveness of representational shift as a problem-solving technique. An increasing number of machine learning researchers are building programs that learn to alter their language to improve their effectiveness. At the Fourth Machine Learning Workshop held in June, 1987, at the University of California at Irvine, it became clear that the both the machine learning community and the number of topics it addresses had grown so large that the representation issue could not be discussed in sufficient depth. A number of attendees were particularly interested in the related topics of constructive induction, problem reformulation, representation selection, and multiple levels of abstraction. Rob Holte, Larry Rendell, and I decided to hold a workshop in 1988 to discuss these topics. To keep this workshop small, we decided that participation be by invitation only.

This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.

With Supplement By George W. Grupp And John A. Ferris.

With Supplement By George W. Grupp And John A. Ferris.

With Supplement By George W. Grupp And John A. Ferris.

Change of Representation and Inductive Bias One of the most important emerging concerns of machine learning researchers is the dependence of their learning programs on the underlying representations, especially on the languages used to describe hypotheses. The effectiveness of learning algorithms is very sensitive to this choice of language; choosing too large a language permits too many possible hypotheses for a program to consider, precluding effective learning, but choosing too small a language can prohibit a program from being able to find acceptable hypotheses. This dependence is not just a pitfall, however; it is also an opportunity. The work of Saul Amarel over the past two decades has demonstrated the effectiveness of representational shift as a problem-solving technique. An increasing number of machine learning researchers are building programs that learn to alter their language to improve their effectiveness. At the Fourth Machine Learning Workshop held in June, 1987, at the University of California at Irvine, it became clear that the both the machine learning community and the number of topics it addresses had grown so large that the representation issue could not be discussed in sufficient depth. A number of attendees were particularly interested in the related topics of constructive induction, problem reformulation, representation selection, and multiple levels of abstraction. Rob Holte, Larry Rendell, and I decided to hold a workshop in 1988 to discuss these topics. To keep this workshop small, we decided that participation be by invitation only.

The essays in Pragmatist and American Philosophical Perspectives on Resilience offer a survey of the ways that "resilience" is becoming a key concept for understanding our world, as well as providing deeper insight about its specific actual and proposed applications. From climate change preparedness to mental health, resilience has recently emerged as a central focus of a variety of disciplines grounded in theoretical approaches as disparate as environmental philosophy, psychology, safety engineering, political science, and urban planning. As an emerging concept with multiple theoretical and practical meanings, "resilience" promises considerable explanatory power. At the same time, current uses of the concept can be diverse and at times inconsistent. The American philosophical tradition provides tools uniquely suited for clarifying, extending, and applying emerging concepts in more effective and suggestive ways. From cultural figures such as Benjamin Franklin and Wendell Berry to philosophers such as Jane Addams and William James, this collection explores the usefulness of theoretical work in American philosophy and pragmatism to practices in ecology, community, rurality, and psychology.

John Dewey’s Metaphysical Theory provides an overview and technical exposition of Dewey’s mature ontological theory. In particular, “nature,” “experience,” and their relationship, are given extended treatment through a close reading of primary texts. Following Dewey’s metaphysical postulates and conclusions, the book suggests how experience may reveal the fundamental traits of nature. In addition, the book reveals how Dewey understood the ways in which all phenomena may relate within an inclusive economy of existence, what it means to have an “identity,” what constitutes “selfhood” or personality, and how metaphysics relates to the ideals of democracy and social ethics.

This is an EXACT reproduction of a book published before 1923. This IS NOT an OCR'd book with strange characters, introduced typographical errors, and jumbled words. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfangen des Verlags von 1842 erschienen sind. Der Verlag stellt mit diesem Archiv Quellen fur die historische wie auch die disziplingeschichtliche Forschung zur Verfugung, die jeweils im historischen Kontext betrachtet werden mussen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ideologischen Ausrichtung vom Verlag nicht beworben.