Without inductive reasoning, we couldn't generalize from one instance to another, derive scientific hypotheses, or predict that the sun will rise again tomorrow morning. Despite the widespread nature of inductive reasoning, books on this topic are rare. Indeed, this is the first book on the psychology of inductive reasoning in twenty years. The chapters survey recent advances in the study of inductive reasoning and address questions about how it develops, the role of knowledge in induction, how best to model people's reasoning, and how induction relates to other forms of thinking. Written by experts in philosophy, developmental science, cognitive psychology, and computational modeling, the contributions here will be of interest to a general cognitive science audience as well as to those with a more specialized interest in the study of thinking.

Decisions We Make: How To Figure Things Out - Inductive Reasoning versus Deductive Reasoning is a most unusual book where the reader is taught how to figure things out using a step-by step process developed by one of the nation's leading behavioral scientist and best-selling author, Dr. Treat Preston. This book addresses such issues as the decisions we make, deadly decisions, inductive reasoning, deductive reasoning, reasoning skills, argumentation and debate, argumentation critical thinking in action. It leaves no stone unturned in its effort to teach its readers the value of being able to figure things out and developing a habit of proper decision making. Here is the TABLE OF CONTENTS: DISCLAIMER AND TERMS OF USE AGREEMENT:Introduction – There Are Two Sides to Every ArgumentChapter 1 - Laying A Proper FoundationChapter 2 – Inductive ReasoningChapter 3 – Deductive ReasoningChapter 4 – Intellectual versus Emotional DecisionsChapter 5 – Why We Must DecideChapter 6 – Summing It All UpI Have a Special Gift for My ReadersMeet the AuthorThe topic of “figuring things out” is not a subject taught in schools and it should be. Learning at a young age the art of reasoning and thinking is an essential tool to take from childhood into adulthood. Decision making should be based on facts and not emotion. Once all of the facts are garnered, a person is free to decide on what side of an argument they actually believe and reside but the decision should be based on fact and not emotion.

An introductory text that explores Psychology's major theories, and the evidence that supports and refutes them. This title incorporates research, helping students to probe for the purposes and biological origins of behavior - the 'whys' and 'hows' of Human Psychology.

The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

"William Hughes's Critical Thinking, recently revised and updated by Jonathan Lavery, is a comprehensive and accessible introduction to the essential skills required to make strong arguments. Hughes and Lavery give a thorough treatment of such traditional topics as deductive and inductive reasoning, logical fallacies and how to spot them, the importance of inference, how to recognise and avoid ambiguity, and how to assess what is or is not relevant to an argument. But they also cover a variety of topics not always treated in books of this sort - special concerns to keep in mind when reasoning about ethical matters and how the nature of a language can affect the structure of an argument. The book gives a lucid treatment of the differences between descriptive and evaluative meaning: one person's freedom fighter is another person's terrorist." "For the fourth edition, Jonathan Lavery has added a new chapter on scientific reasoning, expanded the treatment of analogies, added numerous examples, and revised and updated the text throughout."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

From the very beginning of their investigation of human reasoning, philosophers have identified two other forms of reasoning, besides deduction, which we now call abduction and induction. Deduction is now fairly well understood, but abduction and induction have eluded a similar level of understanding. The papers collected here address the relationship between abduction and induction and their possible integration. The approach is sometimes philosophical, sometimes that of pure logic, and some papers adopt the more task-oriented approach of AI. The book will command the attention of philosophers, logicians, AI researchers and computer scientists in general.

An introduction to research methodology, this textbook contains conceptual and nontechnical descriptions of the methods used by researchers in medical experimentation. Each step of the research process is explained and illustrated with examples from practice. This revised second edition also has expanded sections on clinical research methods, action research, Web resources, and current scenarios.