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Author: Kenneth D. Forbus Publisher: MIT Press ISBN: 9780262061575 Category : Computers Languages : en Pages : 726
Book Description
After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.
Author: Kenneth D. Forbus Publisher: MIT Press ISBN: 9780262061575 Category : Computers Languages : en Pages : 726
Book Description
After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.
Author: Kenneth D. Forbus Publisher: ISBN: 9780262560726 Category : Languages : en Pages :
Book Description
This supplement to Building Problem Solvers contains the Common Lisp code examplesreferenced throughout the text. The code is available on disk and can also be downloaded viaftp.
Author: Ruth A. Shapiro Publisher: Stanford University Press ISBN: 080478437X Category : Business & Economics Languages : en Pages : 251
Book Description
Today, "social entrepreneurship" describes a host of new initiatives, and often refers to approaches that are breaking from traditional philanthropic and charitable organizational behavior. Nowhere is this more true than in the United States—where, from 1995–2005, the number of non-profit organizations registered with the IRS grew by 53%. But, what types of change have these social entrepreneurial efforts brought to the world of civil society and philanthropy? What works in today's environment? And, what barriers are these new efforts breaking down as they endeavor to make the world a better place? The Real Problem Solvers brings together leading entrepreneurs, funders, investors, thinkers, and champions in the field to answer these questions from their own, first-person perspectives. Contributors include marquee figures, such as Nobel Laureate Muhammad Yunus, Ashoka Founder Bill Drayton, Jacqueline Novogratz, Founder of the Acumen Fund, and Sally Osberg, CEO of the Skoll Foundation. The core chapters are anchored by an introduction, a conclusion, and question-and-answers sections that weave together the voices of various contributors. In no other book are so many leaders presented side-by-side. Therefore, this is the ideal accessible and personal introduction for students of and newcomers to social entrepreneurship.
Author: Ken Watanabe Publisher: Penguin ISBN: 1101029188 Category : Business & Economics Languages : en Pages : 130
Book Description
The fun and simple problem-solving guide that took Japan by storm Ken Watanabe originally wrote Problem Solving 101 for Japanese schoolchildren. His goal was to help shift the focus in Japanese education from memorization to critical thinking, by adapting some of the techniques he had learned as an elite McKinsey consultant. He was amazed to discover that adults were hungry for his fun and easy guide to problem solving and decision making. The book became a surprise Japanese bestseller, with more than 370,000 in print after six months. Now American businesspeople can also use it to master some powerful skills. Watanabe uses sample scenarios to illustrate his techniques, which include logic trees and matrixes. A rock band figures out how to drive up concert attendance. An aspiring animator budgets for a new computer purchase. Students decide which high school they will attend. Illustrated with diagrams and quirky drawings, the book is simple enough for a middleschooler to understand but sophisticated enough for business leaders to apply to their most challenging problems.
Author: Karin Hurt Publisher: HarperCollins Leadership ISBN: 140021954X Category : Business & Economics Languages : en Pages : 224
Book Description
From executives complaining that their teams don’t contribute ideas to employees giving up because their input isn’t valued--company culture is the culprit. Courageous Cultures provides a road map to build a high-performance, high-engagement culture around sharing ideas, solving problems, and rewarding contributions from all levels. Many leaders are convinced they have an open environment that encourages employees to speak up and are shocked when they learn that employees are holding back. Employees have ideas and want to be heard. Leadership wants to hear them. Too often, however, employees and leaders both feel that no one cares about making things better. The disconnect typically only widens over time, with both sides becoming more firmly entrenched in their viewpoints. Becoming a courageous culture means building teams of microinnovators, problem solvers, and customer advocates working together. In our world of rapid change, a courageous culture is your competitive advantage. It ensures that your company is “sticky” for both customers and employees. In Courageous Cultures, you’ll learn practical tools that help you: Learn the difference between microinnovators, problem solvers, and customer advocates and how they work together. See how the latest research conducted by the authors confirms why organizations struggle when it comes to creating strong cultures where employees are encouraged to contribute their best thinking. Learn proven models and tools that leaders can apply throughout all levels of the organization, to reengage and motivate employees. Understand best practices from companies around the world and learn how to apply these strategies and techniques in your own organization. This book provides you with the practical tools to uncover, leverage, and scale the best ideas from every level of your organization.
Author: Dipanjan Sarkar Publisher: Apress ISBN: 1484232070 Category : Computers Languages : en Pages : 545
Book Description
Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! What You'll Learn Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning. Who This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students
Author: David H. Jonassen Publisher: Routledge ISBN: 1136941886 Category : Education Languages : en Pages : 615
Book Description
This book provides a comprehensive, up-to-date look at problem solving research and practice over the last fifteen years. The first chapter describes differences in types of problems, individual differences among problem-solvers, as well as the domain and context within which a problem is being solved. Part one describes six kinds of problems and the methods required to solve them. Part two goes beyond traditional discussions of case design and introduces six different purposes or functions of cases, the building blocks of problem-solving learning environments. It also describes methods for constructing cases to support problem solving. Part three introduces a number of cognitive skills required for studying cases and solving problems. Finally, Part four describes several methods for assessing problem solving. Key features includes: Teaching Focus – The book is not merely a review of research. It also provides specific research-based advice on how to design problem-solving learning environments. Illustrative Cases – A rich array of cases illustrates how to build problem-solving learning environments. Part two introduces six different functions of cases and also describes the parameters of a case. Chapter Integration – Key theories and concepts are addressed across chapters and links to other chapters are made explicit. The idea is to show how different kinds of problems, cases, skills, and assessments are integrated. Author expertise – A prolific researcher and writer, the author has been researching and publishing books and articles on learning to solve problems for the past fifteen years. This book is appropriate for advanced courses in instructional design and technology, science education, applied cognitive psychology, thinking and reasoning, and educational psychology. Instructional designers, especially those involved in designing problem-based learning, as well as curriculum designers who seek new ways of structuring curriculum will find it an invaluable reference tool.
Author: Alisha R. Pollastri Publisher: Springer ISBN: 3030126307 Category : Medical Languages : en Pages : 206
Book Description
This book is the first to systematically describe the key components necessary to ensure successful implementation of Collaborative Problem Solving (CPS) across mental health settings and non-mental health settings that require behavioral management. This resource is designed by the leading experts in CPS and is focused on the clinical and implementation strategies that have proved most successful within various private and institutional agencies. The book begins by defining the approach before delving into the neurobiological components that are key to understanding this concept. Next, the book covers the best practices for implementation and evaluating outcomes, both in the long and short term. The book concludes with a summary of the concept and recommendations for additional resources, making it an excellent concise guide to this cutting edge approach. Collaborative Problem Solving is an excellent resource for psychiatrists, psychologists, social workers, and all medical professionals working to manage troubling behaviors. The text is also valuable for readers interested in public health, education, improved law enforcement strategies, and all stakeholders seeking to implement this approach within their program, organization, and/or system of care.
Author: Neil J. Rubenking Publisher: Wiley Publishing ISBN: Category : Computers Languages : en Pages : 632
Book Description
As programmers begin using the increasingly popular Delphi, they find themselves asking, "I know how to do this in (fill in the blank), but how do I do it in Delphi?" Based on a survey of the most frequently asked questions of programmers, Neil Rubenking provides all the answers, plus any codes used, special notes and tips, and more. Full coverage of 32-bit application development is also featured.
Author: Kenneth D. Forbus
Author: Kenneth D. Forbus
Author: Kenneth D. Forbus
Author: Ruth A. Shapiro
Author: Ken Watanabe
Author: Karin Hurt
Author: Shaun Loney
Author: Dipanjan Sarkar
Author: David H. Jonassen
Author: Alisha R. Pollastri
Author: Neil J. Rubenking