COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Information Flow and Knowledge Sharing - 1st Edition - ISBN: 9780444529350, 9780080569901

Information Flow and Knowledge Sharing, Volume 2

1st Edition

Editor: Mary James
Authors: Flavio Correa da Silva Jaume Agusti-Cullell
Series Editor: Frank van Harmelen
Hardcover ISBN: 9780444529350
eBook ISBN: 9780080569901
Imprint: Elsevier Science
Published Date: 10th March 2008
Page Count: 296
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Table of Contents

1 Introduction
Intended audience
Chapters’ contents

2 Information
Agents and the world
Reality and structure
Information systems
A non-rationalistic stance
Bibliographical notes

3 Information Flow
Communicated information
Noise and distortion
Received information
Communication systems
The purpose of communication
Bibliographical notes

4 Shared Understanding
Dialogues for shared understanding
Communication spaces
Productive dialogue
Facilitators for productive dialogues
Bibliographical notes

5 Collaborative Problem Solving
Coordinated action
Reliability and trust
Bibliographical notes

6 Ontological Reasoning
Patterns of interaction
Bibliographical notes

7 Uncertainty
Controlled uncertainty
Trust, confidentiality and privacy
Bibliographical notes

8 Knowledge Sharing
The illusion of life
Bibliographical notes

9 Knowledge
Bibliographical notes

10 Conclusion



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 better and deeper critical understanding of information technology as situated in the full range of human activities, assuming as a principle that this range of activities cannot be properly appreciated when it is reduced to the simplified means-end schema proposed by Technology. We invite the reader to build his/her own points of view about these notions, considering our propositions as a starting point for a critical analysis and discussion of these points. With that, we believe we are contributing to a better understanding of the impact of technology – and particularly of Information Technology – in everyday life.
Flavio Soares Correa da Silva, Jaume Agusti-Cullell

Key Features

Bridges the gap between the technological and philosophical aspects of information technology
Analyzes essential notions of IT such as information, knowledge, information system, information flow, collaborative problem solving, and ontological reasoning


IT industry professionals; scholars, researchers and students in IT, artificial intelligence, philosophy of science and philosophy of technology


No. of pages:
© Elsevier Science 2008
10th March 2008
Elsevier Science
Hardcover ISBN:
eBook ISBN:

Ratings and Reviews

About the Editor

Mary James

About the Authors

Flavio Correa da Silva

Affiliations and Expertise

Department of Computer Science, University of Sao Paulo, Brasil

Jaume Agusti-Cullell

Affiliations and Expertise

Campus de la UAB, Bellaterra, Spain

About the Series Editor

Frank van Harmelen

Affiliations and Expertise

Vrije Universiteit Amsterdam, The Netherlands