Download or read book Knowledge Acquisition and Modeling Proceedings written by Independent Symposiuym on Knowledge Acquisition and Modeling (2008 Wuhan China) and published by IEEE Computer Society Press. This book was released on 2008-01-01 with total page 894 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Knowledge Acquisition and Representation Language KARL written by Dieter Fensel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the framework of so-called second generation expert systems [62] knowledge modeling is one of the most important aspects. On the one hand, knowledge acquisition is no longer seen as a knowledge transfer process, rather it is now considered as model construction process which is typically a cyclic and error prone process. On the other hand, the distinction between knowledge and symbol level descriptions [166] resulted in various proposals for conceptual knowledge models describing knowledge in an implementation independent way. One of the most prominent examples of such a conceptual model is the KADS model of expertise which is characterized by its clear distinction of different know ledge types and by the usage of specific modeling primitives to describe these different knowledge types [185]. The semi formal KADS expertise model entails all the advantages and disadvantages which have been identified for semi-formal system models e.g. in the software engineering community.
Download or read book Knowledge acquisition as modeling written by and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Knowledge Acquisition Modeling and Management written by Enric Plaza and published by . This book was released on 2014-01-15 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Knowledge Acquisition as Modeling written by and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Knowledge Engineering and Knowledge Management Methods Models and Tools written by Rose Dieng and published by Springer. This book was released on 2003-07-31 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2000, held in Juan-les-Pins, France in October 2000. The 28 revised full papers and six revised short papers presented were carefully reviewed and selected from a high number of high-quality submissions. The book offers topical sections on knowledge modeling languages and tools, ontologies, knowledge acquisition from texts, machine learning, knowledge management and electronic commerce, problem solving methods, knowledge representation, validation, evaluation and certification, and methodologies.
Download or read book Constructive Knowledge Acquisition written by Franz Schmalhofer and published by Routledge. This book was released on 2019-01-04 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cognitive psychology which becomes increasingly specialized requires a special effort in order to avoid a fragmentation into several controversial issues that are independently discussed but also inherently related. Rather than asking additional differentiated questions which are then investigated by more specialized experimental methods and designs, this book promotes unified theories and a levels approach for their experimental evaluation. Within this cognitive science approach and on the basis of the most foundational assumptions of Kintsch's construction integration theory, a computational theory of knowledge acquisition is then developed and subsequently evaluated by psychological experiments. For forty years, computer simulation techniques and experimental psychology research have greatly matured the understanding of human knowledge and its acquisition in different learning environments. This volume critically assesses the advantages and limitations of these approaches and then develops an integrated research methodology. It goes on to provide significant progress concerning the following questions: * What are the most promising research methodologies for investigating human cognition? * How can the experimental psychology research on text comprehension, concept formation, and memory become more closely related to one another when the very specialized research paradigms and the highly specific scientific controversies promote their separation and independent discussion? * How can a general comprehension-based theory bridge the gap between simple experimental settings and the real-life situations that occur in education and work environments? This book demonstrates how experimental psychology can proceed more successfully by investigating those aspects that are shared among different areas of research like text comprehension, categorization, and learning by exploration. It also shows how unified theories can assist in applying experimental psychology and cognitive science results to areas such as intelligent tutoring systems, instructional design, and the development of expert systems in complex real world domains.
Download or read book Knowledge Acquisition Modeling and Management written by Rudi Studer and published by Springer. This book was released on 2003-06-29 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Past, Present, and Future of Knowledge Acquisition This book contains the proceedings of the 11th European Workshop on Kno- edge Acquisition, Modeling, and Management (EKAW ’99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (now called knowledge-based systems): Acquiring knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped to improve this process. These approaches signi?cantly reduced the cost of - veloping knowledge-based systems. However, these systems often only partially ful?lled the taskthey weredevelopedfor andmaintenanceremainedanunsolved problem. This required a paradigm shift that views the development process of knowledge-based systems as a modeling activity. Instead of simply transf- ring human knowledge into machine-readable code, building a knowledge-based system is now viewed as a modeling activity. A so-called knowledge model is constructed in interaction with users and experts. This model need not nec- sarily re?ect the already available human expertise. Instead it should provide a knowledgelevelcharacterizationof the knowledgethat is requiredby the system to solve the application task. Economy and quality in system development and maintainability are achieved by reusable problem-solving methods and onto- gies. The former describe the reasoning process of the knowledge-based system (i. e. , the algorithms it uses) and the latter describe the knowledge structures it uses (i. e. , the data structures). Both abstract from speci?c application and domain speci?c circumstances to enable knowledge reuse.
Download or read book Knowledge Acquisition as Modeling written by Kenneth M. Ford and published by . This book was released on 1993-03-22 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Acquisition (KA) is the study of how information is gathered and used in intelligent systems. Until recently, KA methodology had developed little beyond unstructured interviewing of "human experts", but recent research in the field has led to highly significant advances in both knowledge and modeling.
Download or read book Foundations of Knowledge Acquisition written by Susan Chipman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Knowledge Acquisition Modeling and Management written by Dieter Fensel and published by Springer Science & Business Media. This book was released on 1999-05-19 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management, EKAW '99, held at Dagstuhl Castle, Germany in May 1999. The volume presents 16 revised full papers and 15 revised short papers were carefully reviewed and selected form a high number of submissions. Also included are two invited papers. The papers address issues of knowledge acquisition (i.e., the process of extracting, creating, structuring knowledge, etc.), of knowledge-level modeling for knowledge-based systems, and of applying and redefining this work in a knowledge management and knowledge engineering context.
Download or read book Automated Generation of Model based Knowledge acquisition Tools written by Mark A. Musen and published by Morgan Kaufmann. This book was released on 1989 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Knowledge Acquisition Modeling and Management written by Rudi Studer and published by Springer. This book was released on 2003-06-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Past, Present, and Future of Knowledge Acquisition This book contains the proceedings of the 11th European Workshop on Kno- edge Acquisition, Modeling, and Management (EKAW ’99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (now called knowledge-based systems): Acquiring knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped to improve this process. These approaches signi?cantly reduced the cost of - veloping knowledge-based systems. However, these systems often only partially ful?lled the taskthey weredevelopedfor andmaintenanceremainedanunsolved problem. This required a paradigm shift that views the development process of knowledge-based systems as a modeling activity. Instead of simply transf- ring human knowledge into machine-readable code, building a knowledge-based system is now viewed as a modeling activity. A so-called knowledge model is constructed in interaction with users and experts. This model need not nec- sarily re?ect the already available human expertise. Instead it should provide a knowledgelevelcharacterizationof the knowledgethat is requiredby the system to solve the application task. Economy and quality in system development and maintainability are achieved by reusable problem-solving methods and onto- gies. The former describe the reasoning process of the knowledge-based system (i. e. , the algorithms it uses) and the latter describe the knowledge structures it uses (i. e. , the data structures). Both abstract from speci?c application and domain speci?c circumstances to enable knowledge reuse.
Download or read book The Models of Skill Acquisition and Expertise Development written by Raman K. Attri and published by Speed To Proficiency Research: S2Pro©. This book was released on 2019-03-30 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers condensed summaries of twenty-three major skill acquisition and expertise development models presented by leading researchers during the last half a century of classic and new research. This book presents new researchers in learning, training, cognitive sciences, or education disciplines with a big picture starting point for their literature review journey. The book presents an easy-to-understand taxonomy of twenty-three models, giving new researchers a good bird’s eye view of existing models and theories. They can decide which direction to dig further. The reviews in this book are complemented with over 200 authentic sources, which a researcher read for a detailed and deeper dive and set the direction for further exploration. This book would also act as an essential reference for training & learning professionals and instructional designers to design research-based training curriculum to develop the skills of their staff. Chapter 1 of the book elaborates on how the processes of learning, skill acquisition, and expertise development are interwoven. Chapter 2 presents a classification system to categorize various models reviewed in the literature under five groups. Chapter 3 describes twelve models of skill and expertise acquisition which are represented in the form of stages used frequently in learning, training, and performance literature. The chapter also briefly discusses each model's implications toward developing the skills and expertise of a less proficient individual to a higher level of proficiency. Chapter 4 reviews practice-, time- or task-based models, which are theories or models suggesting that acquisition of knowledge & skills, development of expertise, and performance improvement is a function of nature of the practice, amount of time spent on the task and task type. Chapter 5 presents the factor-based models, suggesting the interplay of several factors that influence the acquisition of knowledge & skills, development of expertise, and performance improvement. Chapter 6 embarks on describing expert modeling-based models, suggesting modeling an expert through elicitation or guidance for the acquisition of knowledge & skills, development of expertise, and performance improvement. Chapter 7 covers some newer movements toward cognition-based models, which are theories or models focusing on mechanisms of cognitive learning for the acquisition of knowledge & skills, development of expertise, and performance improvement. Chapter 8 concludes the book by integrating views from various thought leaders to explain a famous staged skill acquisition model.
Download or read book Knowledge Acquisition Modeling and Management written by Rudi Studer and published by Springer. This book was released on 1999-05-19 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Past, Present, and Future of Knowledge Acquisition This book contains the proceedings of the 11th European Workshop on Kno- edge Acquisition, Modeling, and Management (EKAW ’99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (now called knowledge-based systems): Acquiring knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped to improve this process. These approaches signi?cantly reduced the cost of - veloping knowledge-based systems. However, these systems often only partially ful?lled the taskthey weredevelopedfor andmaintenanceremainedanunsolved problem. This required a paradigm shift that views the development process of knowledge-based systems as a modeling activity. Instead of simply transf- ring human knowledge into machine-readable code, building a knowledge-based system is now viewed as a modeling activity. A so-called knowledge model is constructed in interaction with users and experts. This model need not nec- sarily re?ect the already available human expertise. Instead it should provide a knowledgelevelcharacterizationof the knowledgethat is requiredby the system to solve the application task. Economy and quality in system development and maintainability are achieved by reusable problem-solving methods and onto- gies. The former describe the reasoning process of the knowledge-based system (i. e. , the algorithms it uses) and the latter describe the knowledge structures it uses (i. e. , the data structures). Both abstract from speci?c application and domain speci?c circumstances to enable knowledge reuse.
Download or read book Knowledge Acquisition and Modeling written by Chengling Zhao and published by IEEE Computer Society Press. This book was released on 2009-01-01 with total page 1268 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Knowledge Acquisition in Practice written by Nicholas Ross Milton and published by Springer Science & Business Media. This book was released on 2007-05-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
