Information Flow and Knowledge Sharing ( Volume 2 )

Publication series :Volume 2

Author: Silva   Flavio Soares Correa da;Agusti-Cullell   Jaume;James   Mary E.  

Publisher: Elsevier Science‎

Publication year: 2008

E-ISBN: 9780080569901

P-ISBN(Paperback): 9780444529350

P-ISBN(Hardback):  9780444529350

Subject: G201 information theory

Language: ENG

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Description

Except from the Foreword
The stated aim of the book series "Capturing Intelligence" is to publish books on research from all disciplines dealing with and affecting the issue of understanding and reproducing intelligence artificial systems. Of course, much of the work done in the past decades in this area has been of a highly technical nature, varying from hardware design for robots, software design for intelligent agents, and formal logic for reasoning.

It is therefore very refreshing to see Information Flow and Knowledge Sharing. This is a courageous book indeed. It is not afraid to tackle the Big Issues: notions such as information, knowledge, information system, information flow, collaborative problem solving, and ontological reasoning. All of these notions are crucial to our understanding of intelligence and our building of intelligent artificial systems, but all too often, these Big Issues are hidden behind the curtains while the technical topics take center stage.

AI has a rich history of philosophical books that have chosen a non-standard structure and narrative. It is nice to see that the authors have succeeded into combining a non-standard approach to deep questions with a non-standard format, resulting in a highly interesting volume.
Frank van Harmelen, Series Editor

Excerpt from the Introduction
Our interest is to promote, through a better and deeper understanding of the notions of information and knowledge, a be

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 6

Contents

pp.:  6 – 10

Foreword

pp.:  10 – 12

Acknowledgments

pp.:  12 – 14

List of Figures

pp.:  14 – 16

Prologue

pp.:  16 – 28

Chapter 1 Introduction

pp.:  28 – 42

Chapter 2 Information

pp.:  42 – 80

Chapter 3 Information Flow

pp.:  80 – 118

Chapter 4 Shared Understanding

pp.:  118 – 154

Chapter 5 Collaborative Problem Solving

pp.:  154 – 190

Chapter 6 Ontological Reasoning

pp.:  190 – 218

Chapter 7 Uncertainty

pp.:  218 – 242

Chapter 8 Knowledge Sharing

pp.:  242 – 262

Chapter 9 Knowledge

pp.:  262 – 268

Chapter 10 Conclusion

pp.:  268 – 274

Epilogue

pp.:  274 – 288

Bibliography

pp.:  288 – 294

Index

pp.:  294 – 295

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