Analogical and Inductive Inference

Analogical and Inductive Inference
Author: Klaus P. Jantke
Publisher: Springer Science & Business Media
Total Pages: 356
Release: 1989-09-20
Genre: Computers
ISBN: 9783540517344

In diesem Buch werden die wesentlichen Aspekte der in den letzten Jahren recht kontrovers geführten Diskussion über das Thema Krankheitsverarbeitung diskutiert. Mehrere Beiträge beschäftigen sich theoretisch und empirisch mit der Frage, ob es sinnvoll ist, Coping und Abwehr gegeneinander abzugrenzen. Ein Überblick über Meßverfahren zu Copingprozessen soll die Beurteilung von Ergebnissen erleichtern und bei der Planung und Durchführung von Untersuchungen zu diesem Thema behilflich sein. Empirische Ergebnisse bei verschiedenen Krankheitsbildern (Krebs, Herzinfarkt, chronische Niereninsuffizienz, Multiple Sklerose und Alkoholismus) und unter verschiedenen Fragestellungen demonstrieren Möglichkeiten und Grenzen unterschiedlicher methodischer Vorgehensweisen.

Model-Based Reasoning in Science and Technology

Model-Based Reasoning in Science and Technology
Author: Lorenzo Magnani
Publisher: Springer
Total Pages: 664
Release: 2010-09-24
Genre: Technology & Engineering
ISBN: 3642152236

Systematically presented to enhance the feasibility of fuzzy models, this book introduces the novel concept of a fuzzy network whose nodes are rule bases and their interconnections are interactions between rule bases in the form of outputs fed as inputs.

Analogical and Inductive Inference

Analogical and Inductive Inference
Author: Klaus P. Jantke
Publisher: Springer Science & Business Media
Total Pages: 340
Release: 1992-09-23
Genre: Computers
ISBN: 9783540560043

This volume contains the text of the five invited papers and 16 selected contributions presented at the third International Workshop on Analogical and Inductive Inference, AII `92, held in Dagstuhl Castle, Germany, October 5-9, 1992. Like the two previous events, AII '92 was intended to bring together representatives from several research communities, in particular, from theoretical computer science, artificial intelligence, and from cognitive sciences. The papers contained in this volume constitute a state-of-the-art report on formal approaches to algorithmic learning, particularly emphasizing aspects of analogical reasoning and inductive inference. Both these areas are currently attracting strong interest: analogical reasoning plays a crucial role in the booming field of case-based reasoning, and, in the fieldof inductive logic programming, there have recently been developed a number of new techniques for inductive inference.

The Material Theory of Induction

The Material Theory of Induction
Author: John D. Norton
Publisher: Bsps Open
Total Pages: 0
Release: 2021
Genre: Philosophy
ISBN: 9781773852539

"The inaugural title in the new, Open Access series BSPS Open, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference. The fundamental burden of a theory of inductive inference is to determine which are the good inductive inferences or relations of inductive support and why it is that they are so. The traditional approach is modeled on that taken in accounts of deductive inference. It seeks universally applicable schemas or rules or a single formal device, such as the probability calculus. After millennia of halting efforts, none of these approaches has been unequivocally successful and debates between approaches persist. The Material Theory of Induction identifies the source of these enduring problems in the assumption taken at the outset: that inductive inference can be accommodated by a single formal account with universal applicability. Instead, it argues that that there is no single, universally applicable formal account. Rather, each domain has an inductive logic native to it. Which that is, and its extent, is determined by the facts prevailing in that domain. Paying close attention to how inductive inference is conducted in science and copiously illustrated with real-world examples, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference."--

Argument and Inference

Argument and Inference
Author: Gregory Johnson
Publisher: MIT Press
Total Pages: 283
Release: 2017-01-06
Genre: Philosophy
ISBN: 0262337770

A thorough and practical introduction to inductive logic with a focus on arguments and the rules used for making inductive inferences. This textbook offers a thorough and practical introduction to inductive logic. The book covers a range of different types of inferences with an emphasis throughout on representing them as arguments. This allows the reader to see that, although the rules and guidelines for making each type of inference differ, the purpose is always to generate a probable conclusion. After explaining the basic features of an argument and the different standards for evaluating arguments, the book covers inferences that do not require precise probabilities or the probability calculus: the induction by confirmation, inference to the best explanation, and Mill's methods. The second half of the book presents arguments that do require the probability calculus, first explaining the rules of probability, and then the proportional syllogism, inductive generalization, and Bayes' rule. Each chapter ends with practice problems and their solutions. Appendixes offer additional material on deductive logic, odds, expected value, and (very briefly) the foundations of probability. Argument and Inference can be used in critical thinking courses. It provides these courses with a coherent theme while covering the type of reasoning that is most often used in day-to-day life and in the natural, social, and medical sciences. Argument and Inference is also suitable for inductive logic and informal logic courses, as well as philosophy of sciences courses that need an introductory text on scientific and inductive methods.

The Oxford Handbook of Thinking and Reasoning

The Oxford Handbook of Thinking and Reasoning
Author: Keith J. Holyoak, Ph.D.
Publisher: Oxford University Press
Total Pages: 865
Release: 2012-04-19
Genre: Psychology
ISBN: 0199734682

The Oxford Handbook of Thinking and Reasoning brings together the contributions of many of the leading researchers in thinking and reasoning to create the most comprehensive overview of research on thinking and reasoning that has ever been available. Each chapter includes a bit of historical perspective on the topic, and concludes with some thoughts about where the field seems to be heading.

The Oxford Handbook of Causal Reasoning

The Oxford Handbook of Causal Reasoning
Author: Michael Waldmann
Publisher: Oxford University Press
Total Pages: 769
Release: 2017
Genre: Psychology
ISBN: 0199399557

Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields.

Induction

Induction
Author: John H. Holland
Publisher: MIT Press
Total Pages: 420
Release: 1986
Genre: Philosophy
ISBN: 9780262580960

Two psychologists, a computer scientist, and a philosopher have collaborated to present a framework for understanding processes of inductive reasoning and learning in organisms and machines. Theirs is the first major effort to bring the ideas of several disciplines to bear on a subject that has been a topic of investigation since the time of Socrates. The result is an integrated account that treats problem solving and induction in terms of rule�based mental models. Induction is included in the Computational Models of Cognition and Perception Series. A Bradford Book.