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Agents and the world
Reality and structure
A non-rationalistic stance
3 Information Flow
Noise and distortion
The purpose of communication
4 Shared Understanding
Dialogues for shared understanding
Facilitators for productive dialogues
5 Collaborative Problem Solving
Reliability and trust
6 Ontological Reasoning
Patterns of interaction
Trust, confidentiality and privacy
8 Knowledge Sharing
The illusion of life
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
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:
Department of Computer Science, University of Sao Paulo, Brasil
Campus de la UAB, Bellaterra, Spain
Vrije Universiteit Amsterdam, The Netherlands
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