Proven Solutions for Your Research Challenges Has your family history research hit a brick wall? Marsha Hoffman Rising's bestselling book The Family Tree Problem Solver has the solutions to help you find the answers you seek. Inside you'll find: · Work-arounds for lost or destroyed records · Techniques for finding ancestors with common names · Ideas on how to find vital records before civil registration began · Advice for how to interpret and use your DNA results · Tips for finding individuals “missing” from censuses · Methods for finding ancestors who lived before 1850 · Strategies for analyzing your research problem and putting together a practical research plan This revised edition also includes new guides to record hints from companies like AncestryDNA. Plus you'll find a glossary of genealogy terms and case studies that put the book’s advice into action.

Proven Methods for Scaling the Inevitable Brick Wall Complications arising from incomplete or missing records, census irregularities, individuals of the same name, and burned courthouses can stop even the most experienced genealogists dead in the tracks. Learn to break through those brick walls with The Family Tree Problem Solver, which dissects researcher's common problems in case studies with straightforward solutions. You will: Go straight to the answers you need without wading through theory or irrelevant record overviews Find explanations and case studies that will help you overcome your obstacles and move forward in your genealogy Learn what NOT to do to avoid hitting brick walls in the future. The Family Tree Problem Solver is the best and most accessible book on the market about breaking down brick walls. The mysteries of research before 1850, collateral relatives, and court and land records are thoroughly explored and applied to your research problems. And it's all brought to you by genealogy's most popular publications, Family Tree Books and Family Tree Magazine!

Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. It keeps the material accessible and relevant to noncomputer science majors. With numerous color figures, this classroom-tested book focuses on both foundational computer science concepts and engineering topics. It covers abstraction, algorithms, logic, graph theory, social issues of software, and numeric modeling as well as execution control, problem-solving strategies, testing, and data encoding and organizing. The text also discusses fundamental concepts of programming, including variables and assignment, sequential execution, selection, repetition, control abstraction, data organization, and concurrency. The authors present the algorithms using language-independent notation.

Completely updated for today's search tactics and blockades, The Everything Family Tree Book has even more insight for the stumped! Whether you're searching in a grandparent's attic or through the most cryptic archiving systems, this book has brand-new chapters on what readers have been asking for: Genetics, DNA, and medical information Surname origins and naming Appendix on major genealogical repositories, libraries, and archives Systems for filing and organizing The latest computer software Land, probate, and estate records Chock-full of tips the competitors don't have, this is the one-stop resource for successful sleuthing!

Your Guide to Online Genealogy The internet has made millions of records available to search any time, anywhere. Start finding your ancestors with just a few strokes of a keyboard using the detailed instruction in this book. Inside you'll find: • An overview of where and how to start your family history research • Detailed descriptions of the best online databases for family historians • Hundreds of helpful websites to further your research • Step-by-step search instructions to help you find exactly what you're looking for • Chapters dedicated to finding specific records, including birth, marriage and death; census; military; land; and immigration • Case studies that apply key concepts to real-life searches • Ideas for connecting with fellow researchers and distant relatives through social media, blogging and newsletters • Special resources for researching American Indian, African-American and Jewish ancestors • Plus access to bonus online video demonstrations If you're curious about who's hanging out in your family tree, there's never been a better time to find out. Get this book, get online and get started today!

You have the software. Now get the tools you need to capitalize on the outstanding features of Family Tree Maker 2011. With The Companion Guide to Family Tree Maker 2011, you'll go beyond the simple step-by-step. Learn the why, how, and when of using its most popular features; discover how to find more family members online; and read quick lessons that will make your family history research fast and fun. All in an easy-to-understand format complete with screenshots and straightforward instructions, The Companion Guide to Family Tree Maker 2011 is your complete guide to creating a family history you and your family will treasure for years to come.

This wide-ranging resource will help readers understand the history and current state of marriage and divorce in the United States, including their many cultural, economic, political, legal, and religious facets. Coverage includes information and insights on broad trends in relationships that are changing the landscape of American society, such as childcare, delayed marriages, blended families, and prevalence of marriage and divorce among various socioeconomic groups. In addition, the encyclopedia features in-depth entries covering high-interest issues that are shaping the character of marriage, divorce, relationships, and family life in the 21st century, including economic/legal topics (child support, prenups, divisions of assets in divorce, the wedding industry, no-fault divorce, legal representation in divorce, and economic independence as a factor in separations/divorce); other divorce factors (infidelity, parenthood, illness, domestic abuse, and child abuse); and a host of other legal/cultural issues, factors, and phenomena, both current and historical.

This book takes a systematic approach to problem definition, generation of alternative solutions, analysis, and selection of the preferred solution. The book introduces fundamental terms needed to think systematically and undertake systematic problem solving and covers individual and group problem solving. It discusses the selection of the preferred solution involves decision making and fundamental concepts of decision making, including decision making in the presence of multiple criteria and uncertainty. The treatment embodies decision making for sustainability, with its blend of economics, social, and environmental considerations.

This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. All the papers were edited afterwards. The Workshop encompassed several fields of Artificial Intelligence: Machine Learning, Belief Revision, Meta-Reasoning and Logics. The objective of this Workshop was not only to address the common issues in these areas, but also to examine how to elaborate cognitive architectures for systems capable of learning from experience, revising their beliefs and reasoning about what they know. Acknowledgements The editing of this book has been supported by COST-13 Project Machine Learning and Knowledge Acquisition funded by the Commission o/the European Communities which has covered a substantial part of the costs. Other sponsors who have supported this work were Junta Nacional de lnvestiga~ao Cientlfica (JNICT), lnstituto Nacional de lnvestiga~ao Cientlfica (INIC), Funda~ao Calouste Gulbenkian. I wish to express my gratitude to all these institutions. Finally my special thanks to Paula Pereira and AnaN ogueira for their help in preparing this volume. This work included retyping all the texts and preparing the camera-ready copy. Introduction 1 1. Meta-Reasoning and Machine Learning The first chapter is concerned with the role meta-reasoning plays in intelligent systems capable of learning. As we can see from the papers that appear in this chapter, there are basically two different schools of thought.