Analogical and Inductive Inference

Analogical and Inductive Inference

Author: Klaus P. Jantke

Publisher: Springer Science & Business Media

Published: 1992-09-23

Total Pages: 340

ISBN-13: 9783540560043

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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.


Analogical and Inductive Inference

Analogical and Inductive Inference

Author: Klaus P. Jantke

Publisher: Springer Science & Business Media

Published: 1989-09-20

Total Pages: 356

ISBN-13: 9783540517344

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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.


Analogical and Inductive Inference

Analogical and Inductive Inference

Author: Klaus P. Jantke

Publisher: Lecture Notes in Computer Science

Published: 1987-07-15

Total Pages: 244

ISBN-13:

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This volume contains revised versions of presentations at the International Workshop on Analogical and Inductive Inference (AII '86) held in Wendisch-Rietz, GDR, October 16-10, 1986. Inductive inference and analogical reasoning are two basic approaches to learning algorithms. Both allow for exciting problems and promising concepts of invoking deeper mathematical results for considerable advances in intelligent software systems. Hence analogical and inductive inference may be understood as a firm mathematical basis for a large variety of problems in artificial intelligence. While the papers on inductive inference contain technical results and reflect the state of the art of this well-developed mathematical theory, those devoted to analogical reasoning reflect the ongoing process of developing the basic concepts of the approach. The workshop thus contributes significantly to the advancement of this field.


Analogies and Theories

Analogies and Theories

Author: Itzhak Gilboa

Publisher: OUP Oxford

Published: 2015-05-14

Total Pages: 174

ISBN-13: 0191057894

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The book describes formal models of reasoning that are aimed at capturing the way that economic agents, and decision makers in general think about their environment and make predictions based on their past experience. The focus is on analogies (case-based reasoning) and general theories (rule-based reasoning), and on the interaction between them, as well as between them and Bayesian reasoning. A unified approach allows one to study the dynamics of inductive reasoning in terms of the mode of reasoning that is used to generate predictions.


Algorithmic Learning Theory

Algorithmic Learning Theory

Author: Setsuo Arikawa

Publisher: Springer Science & Business Media

Published: 1994-09-28

Total Pages: 600

ISBN-13: 9783540585206

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This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference (AII '94) and the Fifth International Workshop on Algorithmic Learning Theory (ALT '94), held jointly at Reinhardsbrunn Castle, Germany in October 1994. (In future the AII and ALT workshops will be amalgamated and held under the single title of Algorithmic Learning Theory.) The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.