Analogical Investigations

Penetrating cross-cultural analysis of alternative models of human reasoning. Uses examples from ancient Greek and Chinese thought and recent ethnography.

Analogy has been the focus of extensive research in cognitive science over the past two decades. Through analogy, novel situations and problems can be understood in terms of familiar ones. Indeed, a case can be made for analogical processing as the very core of cognition. This is the first book to span the full range of disciplines concerned with analogy. Its contributors represent cognitive, developmental, and comparative psychology; neuroscience; artificial intelligence; linguistics; and philosophy. The book is divided into three parts. The first part describes computational models of analogy as well as their relation to computational models of other cognitive processes. The second part addresses the role of analogy in a wide range of cognitive tasks, such as forming complex cognitive structures, conveying emotion, making decisions, and solving problems. The third part looks at the development of analogy in children and the possible use of analogy in nonhuman primates. Contributors Miriam Bassok, Consuelo B. Boronat, Brian Bowdle, Fintan Costello, Kevin Dunbar, Gilles Fauconnier, Kenneth D. Forbus, Dedre Gentner, Usha Goswami, Brett Gray, Graeme S. Halford, Douglas Hofstadter, Keith J. Holyoak, John E. Hummel, Mark T. Keane, Boicho N. Kokinov, Arthur B. Markman, C. Page Moreau, David L. Oden, Alexander A. Petrov, Steven Phillips, David Premack, Cameron Shelley, Paul Thagard, Roger K.R. Thompson, William H. Wilson, Phillip Wolff

Practices of comparing shape how we perceive, organize, and change the world. Supposedly innocent, practices of comparing play a decisive role in forming categories, boundaries, and hierarchies; but they can also give an impetus to question and change such structures. Like almost no other human practice, comparing pervades all social, political, economic, and cultural spheres. This volume outlines the program of a new research agenda that places comparative practices at the center of an interdisciplinary exploration. Its contributions combine case studies with overarching systematic considerations. They show what insights can be gained and which further questions arise when one makes a seemingly trivial practice - comparing - the subject of in-depth research.

If one were to conduct an analysis of any profession the "ability to think analogically" is more than likely to be one of the requirements for success, be it an architectural studio, a research laboratory, a legal office, or a nuclear plant. Cognitive scientists are aware of the prominence of analogical reasoning in all forms of reasoning and learning, and have devoted substantial effort to ascer taining its nature. Test builders, like cognitive scientists, are aware of the cen trality of analogical reasoning and figure, correctly, that a test that samples a student's ability to think analogically may well be a good predictor of success in a variety of fields. This book is the result of a project to investigate analogical reasoning from both an individual differences and a cognitive perspective. The book is directed to both researchers and practitioners concerned with the nature and measurement of analogical reasoning. Cognitive scientists, linguists, psycholinguists, and natural language researchers will find the seman tic taxonomy and accompanying empirical results food for thought. Test devel opers will fmd it reassuring that performance on verbal analogy items is not just a reflection of the size of a person's vocabulary, and that tests can be designed according to principles, rather than assembled to satisfy a set of statistical speci fications. Psychometricians will find that content and response modelling can go together and that there are distinct benefits in approaching psychometric re sponse modelling from that integrative perspective.

Recent philosophy and history of science has seen a surge of interest in the role of concepts in scientific research. Scholars working in this new field focus on scientific concepts, rather than theories, as units of analysis and on the ways in which concepts are formed and used rather than on what they represent. They analyze what has traditionally been called the context of discovery, rather than (or in addition to) the context of justification. And they examine the dynamics of research rather than the status of the finished research results. This volume provides detailed case studies and general analyses to address questions raised by these points, such as: - Can concepts be clearly distinguished from the sets of beliefs we have about their referents? - What - if any - sense can be made of the separation between concepts and theories? - Can we distinguish between empirical and theoretical concepts? - Are there interesting similarities and differences between the role of concepts in the empirical sciences and in mathematics? - What underlying notion of investigative practice could be drawn on to explicate the role of concept in such practice? - From a philosophical point of view, is the distinction between discovery and justification a helpful frame of reference for inquiring into the dynamics of research? - From a historiographical point of view, does a focus on concepts face the danger of falling back into an old-fashioned history of ideas?

Artificial Intelligence continues to be one of the most exciting and fast-developing fields of computer science. This book presents the 177 long papers and 123 short papers accepted for ECAI 2016, the latest edition of the biennial European Conference on Artificial Intelligence, Europe’s premier venue for presenting scientific results in AI. The conference was held in The Hague, the Netherlands, from August 29 to September 2, 2016. ECAI 2016 also incorporated the conference on Prestigious Applications of Intelligent Systems (PAIS) 2016, and the Starting AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume; the papers from STAIRS are published in a separate volume in the Frontiers in Artificial Intelligence and Applications (FAIA) series. Organized by the European Association for Artificial Intelligence (EurAI) and the Benelux Association for Artificial Intelligence (BNVKI), the ECAI conference provides an opportunity for researchers to present and hear about the very best research in contemporary AI. This proceedings will be of interest to all those seeking an overview of the very latest innovations and developments in this field.

Electrical (Generator and Electrical Plant), Volume 4 is a five-chapter text that covers the principles, design, manufacture, characteristics, and maintenance of generators and electrical plant equipment. Chapter 1 deals with the design, construction, and operational aspects of large turbo-generators of up to 500 MW rating. Chapter 2 summarizes the practices in respect of main switchgear and ancillary equipment for generating stations. Chapter 3 looks into the main parameters of the electrical auxiliary system design and the details of the switchgear, motors, and associated equipment. Chapter 4 describes the construction and assembly, design, operation, and maintenance of transformers. This chapter also covers the development of power cables for transformers, installation, and commissioning tests. Chapter 5 examines the role of protection in system design and the principles and operation of automatic voltage regulators. This book is of great value to workers and students who are interested in the design and operation of electrical plant equipment.