Knowledge Acquisition in Practice


Book Description

This is the first book to provide a step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its conclusion. Each is described in terms of reasons, required resources, activities, and solutions to common problems. In addition, each step has a checklist which tracks the key items that should be achieved.




Knowledge Sharing in Practice


Book Description

In this volume organizational learning theory is used to analyse various practices of managing and facilitating knowledge sharing within companies. Experiences with three types of knowledge sharing, namely knowledge acquisition, knowledge reuse, and knowledge creation, at ten large companies are discussed and analyzed. This critical analysis leads to the identification of traps and obstacles when managing knowledge sharing, when supporting knowledge sharing with IT tools, and when organizations try to learn from knowledge sharing practices. The identification of these risks is followed by a discussion of how organizations can avoid them. This work will be of interest to researchers and practitioners working in organization science and business administration. Also, consultants and organizations at large will find the book useful as it will provide them with insights into how other organizations manage and facilitate knowledge sharing and how potential failures can be prevented.




Knowledge Acquisition


Book Description

This book presents a practical view of the knowledge acquisition process, its methodologies and techniques, in order to enable readers to develop expert systems knowledge bases more effectively. It strikes a balance between presenting (1) summaries of research in the field of knowledge acquisition and (2) methodologies and techniques that have been applied and tested on numerous programs in various contexts. Written for novice knowledge engineers or others tasked with acquiring knowledge for the systematic development of expert systems. The presentation of the material does not presume a background in either computer science or artificial intelligence.




Knowledge Acquisition for Expert Systems


Book Description

Building an expert system involves eliciting, analyzing, and interpreting the knowledge that a human expert uses when solving problems. Expe rience has shown that this process of "knowledge acquisition" is both difficult and time consuming and is often a major bottleneck in the production of expert systems. Unfortunately, an adequate theoretical basis for knowledge acquisition has not yet been established. This re quires a classification of knowledge domains and problem-solving tasks and an improved understanding of the relationship between knowledge structures in human and machine. In the meantime, expert system builders need access to information about the techniques currently being employed and their effectiveness in different applications. The aim of this book, therefore, is to draw on the experience of AI scientists, cognitive psychologists, and knowledge engineers in discussing particular acquisition techniques and providing practical advice on their application. Each chapter provides a detailed description of a particular technique or methodology applied within a selected task domain. The relative strengths and weaknesses of the tech nique are summarized at the end of each chapter with some suggested guidelines for its use. We hope that this book will not only serve as a practical handbook for expert system builders, but also be of interest to AI and cognitive scientists who are seeking to develop a theory of knowledge acquisition for expert systems.




The Acquisition and Retention of Knowledge: A Cognitive View


Book Description

In 1963 an initial attempt was made in my The Psychology of Meaningful Verbal Learning to present a cognitive theory of meaningful as opposed to rote verbal learning. It was based on the proposition that the acquisition and retention of knowl edge (particularly of verbal knowledge as, for example, in school, or subject-matter learning) is the product of an active, integrative, interactional process between instructional material (subject matter) and relevant ideas in the leamer's cognitive structure to which the new ideas are relatable in particular ways. This book is a full-scale revision of my 1963 monograph, The Psychology of Meaningful Verbal Learning, in the sense that it addresses the major aforementioned and hitherto unmet goals by providing for an expansion, clarification, differentiation, and sharper focusing of the principal psychological variables and processes involved in meaningful learning and retention, i.e., for their interrelationships and interactions leading to the generation of new meanings in the individual learner. The preparation of this new monograph was largely necessitated by the virtual collapse of the neobe havioristic theoretical orientation to learning during the previous forty years; and by the meteoric rise in the seventies and beyond of constructivist approaches to learning theory.







Rapid Knowledge Acquisition & Synthesis


Book Description

From novice to expert: tools and techniques to make your learning faster, deeper, and stronger. Time to master the most important meta-skill of all: learning. Too bad you didn’t have this book years ago! Scientifically-proven, step-by-step methods for effective absorption, retention, and comprehension. Rapid Knowledge Acquisition & Synthesis is a collection of the very best methods to get ahead of the typical learning curve. You’ll learn how to create an environment for information absorption at shocking speeds. From scientifically-validated tips to best practices of some of the world’s smartest polymaths, you’ll get it all. Faster, deeper, stronger. Directly from one of self-education's thought leaders. Peter Hollins has studied psychology and peak human performance for over a dozen years and is a bestselling author. He has worked with a multitude of individuals to unlock their potential and path towards success. His writing draws on his academic, coaching, and research experience. Clear guidelines for every stage of the learning process. •The most common obstacles of learning and how to overcome them. •Single loop learning, double loop learning, and how to fundamentally change your comprehension mindset. •Best practices for reading, note-taking, absorbing knowledge, and making things stick inside your brain. •The most strategic questions to ask that will make information become memorable and 3d. •Dual coding, REM sleep, shifting locations, the efficacy of variety, and catching your own blind spots. Unlock the most important meta-skill of all: learning. Make yourself recession-proof, upgrade-proof, competition-proof, absent-minded-proof, and stagnant-proof.




How People Learn II


Book Description

There are many reasons to be curious about the way people learn, and the past several decades have seen an explosion of research that has important implications for individual learning, schooling, workforce training, and policy. In 2000, How People Learn: Brain, Mind, Experience, and School: Expanded Edition was published and its influence has been wide and deep. The report summarized insights on the nature of learning in school-aged children; described principles for the design of effective learning environments; and provided examples of how that could be implemented in the classroom. Since then, researchers have continued to investigate the nature of learning and have generated new findings related to the neurological processes involved in learning, individual and cultural variability related to learning, and educational technologies. In addition to expanding scientific understanding of the mechanisms of learning and how the brain adapts throughout the lifespan, there have been important discoveries about influences on learning, particularly sociocultural factors and the structure of learning environments. How People Learn II: Learners, Contexts, and Cultures provides a much-needed update incorporating insights gained from this research over the past decade. The book expands on the foundation laid out in the 2000 report and takes an in-depth look at the constellation of influences that affect individual learning. How People Learn II will become an indispensable resource to understand learning throughout the lifespan for educators of students and adults.




Readings in Knowledge Acquisition


Book Description

A review of AI topics divided into four main sections representing current issues. The readings stress application of knowledge acquisition research and theory, aiming to reflect the processes of acquiring and structuring knowledge of knowledge-based and expert systems.




The Acquisition of Knowledge and Skills for Taskwork and Teamwork to Control Complex Technical Systems


Book Description

This book provides the first comprehensive literature review on the acquisition and retention of complex skills in High Reliability Organizations. Based on this review, it introduces a theoretical model of how skill and knowledge acquisition for complex tasks is accomplished and shows how this model can be used to derive training methods and instructional techniques. Successful acquisition and retention of complex technical skills within High Reliability Organizations requires a full understanding of the learning process, knowledge structure, and skill requirements associated with the effective operation and management of technology. For researchers and for organizations, the understanding of these processes is vital for designing training programs as well as for reducing errors with severe consequences for human lives and the environment. Until now, only theoretical fragments exist on this topic, and only a very limited number of publications actually address complex tasks in vocational/occupational settings. “The Acquisition of Knowledge and Skills for Task Work and Teamwork to Control Complex Technical Systems ” uses its literature overview and theoretical model to formulate training principles, that can be used to develop training experiments for further empirical investigations as well as training methods for applied organizational contexts.