<p>This book constitutes the refereed proceedings of the 10th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2018, held in Budapest, Hungary, in May 2018.The 20 revised full papers presented together with 1 invited talk were carefully reviewed and selected from 40
Foundations of Museum Studies: Evolving Systems of Knowledge
โ Scribed by Kiersten F Latham; John Edward Simmons
- Publisher
- Libraries Unlimited
- Year
- 2014
- Tongue
- English
- Leaves
- 165
- Edition
- Paperback
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Museums serve to help us understand the past and navigate our future--as individuals, as societies, and as a global community. A careful and accurate assessment of a museum's purpose is crucial to its ability to serve its users effectively. "Foundations of Museum Studies: Evolving Systems of Knowledge" offers a holistic introduction to museums and the study of them from the perspective of specialization in museum studies within the context of library and information science (LIS).
The book strikes a balance between theory and practice, examining museums from a systems perspective that considers museums to be document-centered institutions--that objects are documents that generate and convey information, meaning, and inspiration. The authors utilize examples drawn from their experience with institutions in the United States that can be applied to museums across the world. Future museum professionals who read this book will have a broader perspective, an expanded skill set, and the adaptability to span the spectrum of traditional academic disciplines.
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Springer, 2016. โ 365 p. โ ISBN-10: 3319300237. โ ISBN-13: 978-3319300238<div class="bb-sep"></div>This book constitutes the proceedings of the 9th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2016, held in Linz, Austria, in March 2016. The 14 revised full paper
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Neural networks and fuzzy systems are different approaches to introducing human-like reasoning into expert systems. This text is the first to combine the study of these two subjects, their basics and their use, along with symbolic AI methods to build comprehensive artificial intelligence systems.
Neural networks and fuzzy systems are different approaches to introducing human-like reasoning into expert systems. This text is the first to combine the study of these two subjects, their basics and their use, along with symbolic AI methods to build comprehensive artificial intelligence systems.In