Analogical and Inductive Inference

Analogical and Inductive Inference PDF Author: Klaus P. Jantke
Publisher: Springer Science & Business Media
ISBN: 9783540560043
Category : Computers
Languages : en
Pages : 340

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Book Description
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 PDF Author: Klaus P. Jantke
Publisher: Springer Science & Business Media
ISBN: 9783540560043
Category : Computers
Languages : en
Pages : 340

Get Book

Book Description
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 PDF Author: Jantke
Publisher:
ISBN: 9783662194102
Category :
Languages : en
Pages : 336

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Book Description


Analogical and Inductive Inference

Analogical and Inductive Inference PDF Author: Klaus P. Jantke
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 242

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Book Description


Analogical and Inductive Inference

Analogical and Inductive Inference PDF Author: Klaus P. Jantke
Publisher: Springer Science & Business Media
ISBN: 9783540517344
Category : Computers
Languages : en
Pages : 356

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Book Description
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 PDF Author: Lorenzo Magnani
Publisher: Springer
ISBN: 3642152236
Category : Technology & Engineering
Languages : en
Pages : 654

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Book Description
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 Reasoning

Analogical and Inductive Reasoning PDF Author: Stuart Jonathan Russell
Publisher:
ISBN:
Category : Analogy
Languages : en
Pages : 494

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Book Description


Analogical Reasoning

Analogical Reasoning PDF Author: D H Helman
Publisher: Springer
ISBN: 9789401578127
Category :
Languages : en
Pages : 440

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Book Description


The Use of Knowledge in Analogy and Induction

The Use of Knowledge in Analogy and Induction PDF Author: Stuart Jonathan Russell
Publisher: Pitman Publishing
ISBN:
Category : Computers
Languages : en
Pages : 188

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Book Description


Analogies and Theories

Analogies and Theories PDF Author: Itzhak Gilboa
Publisher: OUP Oxford
ISBN: 0191057886
Category : Business & Economics
Languages : en
Pages : 160

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Book Description
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 PDF Author: Setsuo Arikawa
Publisher: Springer Science & Business Media
ISBN: 9783540585206
Category : Computers
Languages : en
Pages : 600

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Book Description
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.