Structural Learning (Volume 1)
Structural Learning (Volume 1)

Author: Joseph M. Scandura

Publisher: Routledge

Published: 2017-09-13

Total Pages: 309

ISBN-13: 1351815334

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Originally published in 1973, this book was published in two volumes. In the first volume, the author describes what he sees as the rudiments of three deterministic partial theories of structural learning. The first involves competence, partial theories which deal only with the problem of how to account for the various kinds of behavior of which people are typically capable. Special attention is given to mathematical competence. Nothing is said about learning or performance. The second partial theory is concerned with motivation, learning, and performance under idealized conditions, and is obtained from the first partial theory by imposing further structure on it. This theory says nothing about memory of the limited capacity of human subjects to process information. ... The final theory is obtained from the second by making additional assumptions, which bring memory and finite information processing into the picture. The theory is still partial, however, since no attempt is made to deal with certain ultra-short-term behavioral phenomena which appear to depend directly on particular physiological characteristics.

Structural Learning (Volume 2)
Structural Learning (Volume 2)

Author: Joseph M. Scandura

Publisher: Routledge

Published: 2017-09-13

Total Pages: 340

ISBN-13: 1351839403

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Originally published in 1976, this title is an edited volume and reflects the major approaches being taken in structural learning at the time. Chapter 1 deals with the basic question of whether competence (knowledge) should be characterized in terms of rules (automata), on the one hand, or associations on the other. The bulk of Chapter 2 is devoted to a series of earlier experiments on rule learning by the editor and his associates. The two contributions in Chapter 3 deal with graph theoretical models. Piagetian models constitute the subject of Chapter 4. Chapter 5 deals with attempts to stimulate human behaviour with a computer. Chapter 6 ranges over a wide variety of competence models, with particular reference to logic and mathematics. In Chapter 7 the editor proposes a new theory of structural learning, together with some empirical results.

Structural Health Monitoring
Structural Health Monitoring

Author: Charles R. Farrar

Publisher: John Wiley & Sons

Published: 2012-11-19

Total Pages: 735

ISBN-13: 1118443217

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Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm, first explaining the paradigm in general terms then explaining the process in detail with further insight provided via numerical and experimental studies of laboratory test specimens and in-situ structures. This paradigm provides a comprehensive framework for developing SHM solutions. Structural Health Monitoring: A Machine Learning Perspective makes extensive use of the authors’ detailed surveys of the technical literature, the experience they have gained from teaching numerous courses on this subject, and the results of performing numerous analytical and experimental structural health monitoring studies. Considers structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm Emphasises an integrated approach to the development of structural health monitoring solutions by coupling the measurement hardware portion of the problem directly with the data interrogation algorithms Benefits from extensive use of the authors’ detailed surveys of 800 papers in the technical literature and the experience they have gained from teaching numerous short courses on this subject.

Building a Midshipman
Building a Midshipman

Author: Jacqui Murray

Publisher: Structured Learning

Published: 2006-08

Total Pages: 162

ISBN-13: 097878006X

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For the thousands of students who apply every year for one of the four military academies, slogging through the numbing concatenation of decisions preceding a nomination, there is no greater intimidation than the statistically likely event that they will try and fail. Thats an examination into the pithiness of moral fiber important to the USNA, and eulogized by James Stockdale, USNA 46 and Medal of Honor Winner: "The test of character is not 'hanging in there' when you expect a light at the end of the tunnel, but performance of duty and persistence of example when you know that no light is coming. This is the true story of how one All-American kidlike those many that applydid it. She had no idea she could aim so high and succeed so succinctly. Her research into the typical Midshipman uncovered a profile alarmingly like herself. If she dreamt of attending a college where she fit in and attracted kindred souls, this qualified. When you first meet Meaghan, you may wonder, why does she think an Ivy League school will accept her? She doesnt earn straight As or play quarterback on the football teamor center on the volleyball squad. I describe in detail her background, her academic interests, her focus, as well as her struggle to put together a winning admissions package. Along the way, you gain insight into the moral fiber that grounds everything she does and allows her to fight the good fight. The support from family and friends, and decisions she must make that superficially appear impossible for an adolescent, but are in fact achievable for thousands of like-minded teens.

Instructional Design Theories and Models
Instructional Design Theories and Models

Author: Charles M. Reigeluth

Publisher: Routledge

Published: 1983-11-01

Total Pages: 494

ISBN-13: 1136778268

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Instructional Design Theories and Models is a thorough yet concise overview of eight of the most comprehensive and best-known attempts to integrate knowledge about effective and appealing instruction. Chapters were written by the original theorists to provide a more accurate and behind-the-scenes look at the theories' development. Instructional Des

Enterprise Information Systems
Enterprise Information Systems

Author: Joaquim Filipe

Publisher: Springer Science & Business Media

Published: 2009-04-03

Total Pages: 366

ISBN-13: 3642006701

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This book contains the best papers of the 10th International Conference on Enterprise Information Systems (ICEIS 2008), held in the city of Barcelona (Spain), organized by the Institute for Systems and Technologies of Information, Control and Com- nication (INSTICC) in cooperation with AAAI and co-sponsored by WfMC. ICEIS has become a major point of contact between research scientists, engineers and practitioners in the area of business applications of information systems. This year, five simultaneous tracks were held, covering different aspects related to enterprise computing, including: “Databases and Information Systems Integration,” “Artificial Intelligence and Decision Support Systems,” “Information Systems Analysis and Specification,” “Software Agents and Internet Computing” and “Human–Computer Interaction.” All tracks focused on real-world applications and highlighted the benefits of information systems and technology for industry and services, thus making a bridge between academia and enterprise. Following the success of 2007, ICEIS 2008 received 665 paper submissions from more than 40 countries. In all, 62 papers were published and presented as full papers, i.e., completed work (8 pages in proceedings / 30-min oral presentations), and 183 papers, reflecting work-in-progress or position papers, were accepted for short pr- entation and another 161 for poster presentation.

Knowledge-based Neurocomputing
Knowledge-based Neurocomputing

Author: Ian Cloete

Publisher: MIT Press

Published: 2000

Total Pages: 512

ISBN-13: 9780262032742

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Looking at ways to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. Explicit modeling of the knowledge represented by such a system remains a major research topic. The reason is that humans find it difficult to interpret the numeric representation of a neural network.The key assumption of knowledge-based neurocomputing is that knowledge is obtainable from, or can be represented by, a neurocomputing system in a form that humans can understand. That is, the knowledge embedded in the neurocomputing system can also be represented in a symbolic or well-structured form, such as Boolean functions, automata, rules, or other familiar ways. The focus of knowledge-based computing is on methods to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.ContributorsC. Aldrich, J. Cervenka, I. Cloete, R.A. Cozzio, R. Drossu, J. Fletcher, C.L. Giles, F.S. Gouws, M. Hilario, M. Ishikawa, A. Lozowski, Z. Obradovic, C.W. Omlin, M. Riedmiller, P. Romero, G.P.J. Schmitz, J. Sima, A. Sperduti, M. Spott, J. Weisbrod, J.M. Zurada