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The Fear of Invasion
In this new study of the lead-up to the Great War, David G. Morgan-Owen deals with an aspect of the war seldom discussed for the simple reason that it never actually came to pass: a German invasion of the United Kingdom. Morgan-Owen makes the case that this fear of invasion played a central role in the formation of British strategy.
The Unconscious in Social and Political Life
Traumatic events happen in every age, yet there is a particularly cataclysmic feeling to our own epoch that is so attractive to some and so terrifying to others. The terrible events of September 11th 2001 still resonate and the repercussions continue to this day: the desperation of immigrants fleeing terror, the uncertainty of Brexit, Donald Trump in the White House, the rise of the alt-right and hard left, increasing fundamentalism, and terror groups intent on causing destruction to the Western way of life. If that were not enough, we also have to grapple with the enormity of climate change and the charge that if we do not act now, it will be too late. Is it any wonder many are left overwhe...
Toward a Practice of Autonomous Systems
Artificial life embodies a recent and important conceptual step in modem science: asserting that the core of intelligence and cognitive abilities is the same as the capacity for living. The recent surge of interest in artificial life has pushed a whole range of engineering traditions, such as control theory and robotics, beyond classical notions of goal and planning into biologically inspired notions of viability and adaptation, situatedness and operational closure. These proceedings serve two important functions: they address bottom-up theories of artificial intelligence and explore what can be learned from simple models such as insects about the cognitive processes and characteristic auton...
Frontiers of Evolutionary Computation
Frontiers of Evolutionary Computation brings together eleven contributions by international leading researchers discussing what significant issues still remain unresolved in the field of Evolutionary Computation (Ee. They explore such topics as the role of building blocks, the balancing of exploration with exploitation, the modeling of EC algorithms, the connection with optimization theory and the role of EC as a meta-heuristic method, to name a few. The articles feature a mixture of informal discussion interspersed with formal statements, thus providing the reader an opportunity to observe a wide range of EC problems from the investigative perspective of world-renowned researchers. These prominent researchers include: Heinz M]hlenbein, Kenneth De Jong, Carlos Cotta and Pablo Moscato, Lee Altenberg, Gary A. Kochenberger, Fred Glover, Bahram Alidaee and Cesar Rego, William G. Macready, Christopher R. Stephens and Riccardo Poli, Lothar M. Schmitt, John R. Koza, Matthew J. Street and Martin A. Keane, Vivek Balaraman, Wolfgang Banzhaf and Julian Miller.
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.
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Learning Classifier Systems
The 5th International Workshop on Learning Classi?er Systems (IWLCS2002) was held September 7–8, 2002, in Granada, Spain, during the 7th International Conference on Parallel Problem Solving from Nature (PPSN VII). We have included in this volume revised and extended versions of the papers presented at the workshop. In the ?rst paper, Browne introduces a new model of learning classi?er system, iLCS, and tests it on the Wisconsin Breast Cancer classi?cation problem. Dixon et al. present an algorithm for reducing the solutions evolved by the classi?er system XCS, so as to produce a small set of readily understandable rules. Enee and Barbaroux take a close look at Pittsburgh-style classi?er sy...
Genetic And Evolutionary Computation- GECCO 2004
The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.
Maritime Men of the Asia-Pacific
Winner of the Australia and New Zealand Law and History Society (ANZLHS) Prize for 2023 Maritime workers occupy a central place in global labour history. This new and compelling account from Australia, shows seafaring and waterside unions engaged in a shared history of activism for legally regulated wages and safe liveable conditions for all who go to sea. Maritime Men of the Asia-Pacific provides a corrective to studies which overlook this region’s significance as a provider of the world’s maritime labour force and where unions have a rich history of reaching across their differences to forge connections in solidarity. From the ‘militant young Australian’ Harry Bridges whose progres...
