The Foundations of Knowledge Acquisition PDF Download
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Author: Brian R. Gaines
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 418
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Book Description
This book presents a broad view of the fundamental issues involved in knowledge acquisition and their place in knowledge-based systems development. The book covers theory based methods and problem modeling approaches to provide a strong theoretical and methodological basis for practical and effective knowledge acquisition techniques.
Author: Brian R. Gaines
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 418
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Book Description
This book presents a broad view of the fundamental issues involved in knowledge acquisition and their place in knowledge-based systems development. The book covers theory based methods and problem modeling approaches to provide a strong theoretical and methodological basis for practical and effective knowledge acquisition techniques.
Author: Susan F. Chipman
Publisher:
ISBN:
Category : Knowledge acquisition (Expert systems)
Languages : en
Pages :
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Book Description
Author: Alan L. Meyrowitz
Publisher: Springer Science & Business Media
ISBN: 0585273669
Category : Computers
Languages : en
Pages : 341
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Book Description
One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.
Author: Susan F. Chipman
Publisher:
ISBN:
Category : Knowledge acquisition (Expert systems)
Languages : en
Pages :
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Book Description
Author: Susan Chipman
Publisher: Springer Science & Business Media
ISBN: 1461531721
Category : Computers
Languages : en
Pages : 347
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Book Description
One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact ofsuccessful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain aboutthe methods by which machines and humans might learn, significant progress has been made.
Author: N. Jayashri
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Knowledge acquisition includes complex intellectual processes: recognition, learning, correspondence, affiliation, and reasoning. The term knowledge is additionally used to mean the pure comprehension of a subject with the capacity to utilize it for a particular reason. By definition, knowledge can be partitioned into two sorts: inferred and express knowledge. Implicit knowledge will be the knowledge that individuals convey in their brains and is, subsequently, hard to get to. Inferred knowledge is viewed as more significant in light of the fact that it gives setting to individuals, spots, thoughts, and encounters. Powerful exchange of implied knowledge by and large requires broad individual contact and trust. In this review, we are going to see the activities, methodologies, and tools, and some auto-generated database query examples, created for knowledge acquisition, can be altered and stretched out to help scholarly foundations with knowledge management.
Author: Susan F. Chipman
Publisher:
ISBN:
Category : Adquisicion de conocimientos (Sistemas expertos)
Languages : en
Pages : 370
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Book Description
Author: Dee McGonigle
Publisher: Jones & Bartlett Publishers
ISBN: 1284041581
Category : Medical
Languages : en
Pages : 610
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Book Description
Explains how nursing informatics relates to knowledge acquisition, knowledge processing, knowledge generation, and knowledge dissemination and feedback, all of which build the science of nursing.
Author: Lisette Josephides
Publisher: Berghahn Books
ISBN: 1785334050
Category : Social Science
Languages : en
Pages : 272
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Book Description
Anthropology lies at the heart of the human sciences, tackling questions having to do with the foundations, ethics, and deployment of the knowledge crucial to human lives. The Ethics of Knowledge Creation focuses on how knowledge is relationally created, how local knowledge can be transmuted into ‘universal knowledge’, and how the transaction and consumption of knowledge also monitors its subsequent production. This volume examines the ethical implications of various kinds of relations that are created in the process of ‘transacting knowledge’ and investigates how these transactions are also situated according to broader contradictions or synergies between ethical, epistemological, and political concerns.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309459672
Category : Education
Languages : en
Pages : 347
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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.
