Do extreme, unethical governmental policies often produce results opposite to those intended? This book considers the ironic outcomes of recent global events and concludes that there is a 'rule of reverse results' at work. While not a hard and fast law, the rule points out the increased probability that a policy will backfire if it is immoral while ethical policies, even if extreme, are unlikely to produce reverse results. The issue here is that of increased likelihood but not of certainty. Governments can never be sure as to the effects of their actions: to some extent they are always working in the dark. But if the motivation is right, moral and humane the policies will not often produce adverse results the opposite of those intended. Based on events in global history in the Twentieth and Twenty-First centuries the chapters can each be read individually, as well as being part of the argument.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This nineteenth issue contains 11 carefully selected and revised contributions.

One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers. Each of the 77 papers in the present book summarizes a current research effort. and provides references to longer expositions appearing elsewhere. These papers cover a broad range of topics. including research on analogy. conceptual clustering. explanation-based generalization. incremental learning. inductive inference. learning apprentice systems. machine discovery. theoretical models of learning. and applications of machine learning methods. A subject index IS provided to assist in locating research related to specific topics. The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. held June 24-26. 1985 at Skytop Lodge. Skytop. Pennsylvania. While the list of research projects covered is not exhaustive. we believe that it provides a representative sampling of the best ongoing work in the field. and a unique perspective on where the field is and where it is headed.

Issue 3, Volume 10, of the Northwestern Journal of Technology & Intellectual Property

This book reviews the history of the interface between morpho-syntax and phonology roughly since World War II. Structuralist and generative interface thinking is presented chronologically, but also theory by theory from the point of view of a historically interested observer who however in the last third of the book distills lessons in order to assess present-day interface theories, and to establish a catalogue of properties that a correct interface theory should or must not have. The book also introduces modularity, the rationalist theory of the (human) cognitive system that underlies the generative approach to language, from a Cognitive Science perspective. Modularity is used as a referee for interface theories in the book. Finally, the book locates the interface debate in the landscape of current minimalist syntax and phase theory and fosters intermodular argumentation: how can we use properties of morpho-syntactic theory in order to argue for or against competing theories of phonology (and vice-versa)?