Intelligent Adaptability
Intelligent Adaptability

Author: Sandy Kemsley

Publisher: Future Strategies Inc.

Published: 2019-10-24

Total Pages: 165

ISBN-13:

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Intelligent Adaptability describes how ACM is emerging in the era of machine intelligence and automation technologies, including Big Data, digitization, Internet of Things (IoT), artificial intelligence (AI), intelligent BPMS and BPM Everywhere. WfMC Chair, Keith Swenson states; “A platform for digital transformation brings a number of different capabilities together: processes, agents, integration, analytics, decisions, and—perhaps most important—case management.” In this book, you will learn how support of adaptive, data-driven processes empowers knowledge workers to know in real-time what is happening at the edge points, and to take actions through the combination of rule-driven guidance and their own know-how. It is not a traditionally-automated system but intelligent adaptability, where technology doesn’t replace human decision-making but extends the reach of the knowledge worker; making data actionable. In award-winning case studies covering industries as a diverse as law enforcement, public safety, transportation, insurance, banking, state services and healthcare, you will find instructive examples for how to transform your own organization. Leading industry analysts study the awards entries for emerging industry trends. Read the chapter, The Seven Trends Impacting The Case Management Landscape by Connie Moore, Digital Clarity Group. This important book follows these ground-breaking best-sellers on ACM; Best Practices for Knowledge Workers, Thriving on Adaptability, Empowering Knowledge Workers, Taming the Unpredictable, How Knowledge Workers Get Things Done, and Mastering the Unpredictable and provides important papers by thought-leaders in this field, together with practical examples.

Intelligent Adaptive Systems
Intelligent Adaptive Systems

Author: Ming Hou

Publisher: CRC Press

Published: 2018-10-30

Total Pages: 331

ISBN-13: 1466517255

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As ubiquitous as the atmosphere, intelligent adaptive systems (IASs) surround us in our daily lives. When designed well, these systems sense users and their environments so that they can provide support in a manner that is not only responsive to the evolving situation, but unnoticed by the user. A synthesis of recent research and developments on IASs from the human factors (HF) and human–computer interaction (HCI) domains, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective provides integrated design guidance and recommendations for researchers and system developers. The book explores a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The authors integrate theories and methodologies from these domains to provide design recommendations for human–machine developers. They then establish design guidance through the review of conceptual frameworks, analytical methodologies, and design processes for intelligent adaptive systems. The book draws on case studies from the military, medical, and distance learning domains to illustrate intelligent system design to examine lessons learned. Outlining an interaction-centered perspective for designing an IAS, the book details methodologies for understanding human work in complex environments and offers understanding about why and how optimizing human–machine interaction should be central to the design of IASs. The authors present an analytical and design methodology as well as an implementation strategy that helps you choose the proper design framework for your needs.

Adaptive Business Intelligence
Adaptive Business Intelligence

Author: Zbigniew Michalewicz

Publisher: Springer Science & Business Media

Published: 2006-12-02

Total Pages: 249

ISBN-13: 3540329293

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Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book explains the application of numerous prediction and optimization techniques, and shows how these concepts can be used to develop adaptive systems. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling.

Encyclopedia of Artificial Intelligence
Encyclopedia of Artificial Intelligence

Author: Juan Ramon Rabunal

Publisher: IGI Global

Published: 2009-01-01

Total Pages: 1640

ISBN-13: 1599048507

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"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.

Principles and Applications of Adaptive Artificial Intelligence
Principles and Applications of Adaptive Artificial Intelligence

Author: Lv, Zhihan

Publisher: IGI Global

Published: 2024-01-24

Total Pages: 332

ISBN-13:

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The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence, edited by Zhihan Lv from Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation problem in AI systems. It explores the latest concepts, technologies, and applications of Adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, real-world case studies, and thorough analysis, the Handbook provides practitioners with practical ideas and solutions, while also serving as a valuable teaching material and reference guide for students and educators in AI-related disciplines. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems, making it an indispensable resource for researchers, professionals, and students seeking to revolutionize their research and applications in the field of Adaptive AI.

Adaptive Intelligence
Adaptive Intelligence

Author: Robert J. Sternberg

Publisher: Cambridge University Press

Published: 2021-02-04

Total Pages: 283

ISBN-13: 1107154383

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High IQs don't improve the world. Adaptive intelligence does, because it prioritizes the common good over individual success.

Ambient Intelligence
Ambient Intelligence

Author: Emile Aarts

Publisher: Springer

Published: 2003-10-24

Total Pages: 439

ISBN-13: 3540398635

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No symposium of this size can be organized without the help of many dedicated persons. EUSAI was organized by Philips Research in close cooperation with the ITEA Ambience project. Many people were involved in this joint effort and we are greatly indebted to them for their valuable contribution to the organization of EUSAI. Special thanks in this respect go to Ad de Beer for taking care of the local arrangements and to Maurice Groten for guaranteeing the financial budget. EUSAI has succeeded in bringing together a wealth of information on the research progress in ambient intelligence, and we are confident that these proceedings will contribute to the realization of the truly great concept that ambient intelligence provides. Eindhoven, Emile Aarts August 2003 Rene Collier Evert van Loenen Boris de Ruyter Le nouveau poème électronique On the occasion of the 1958 World’s Fair in Brussels, Le Corbusier designed for the Philips company a pavilion (see photograph below) that was later referred to as the neglected building by Le Corbusier, since it was dismantled after the fair. In his visually compelling book, Treib [1996] brought this object back to life, and positioned it as an ephemeral structure that exhibited a landmark multimedia production. The nearly two million visitors to the pavilion were exposed to a media show rather than to the typical display of consumer products.