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Interactive Collaborative Information Systems

Inglese · Copertina rigida

Spedizione di solito entro 6 a 7 settimane

Descrizione

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The increasing complexity of our world demands new perspectives on the role of technology in decision making. Human decision making has its li- tations in terms of information-processing capacity. We need new technology to cope with the increasingly complex and information-rich nature of our modern society. This is particularly true for critical environments such as crisis management and tra?c management, where humans need to engage in close collaborations with arti?cial systems to observe and understand the situation and respond in a sensible way. We believe that close collaborations between humans and arti?cial systems will become essential and that the importance of research into Interactive Collaborative Information Systems (ICIS) is self-evident. Developments in information and communication technology have ra- cally changed our working environments. The vast amount of information available nowadays and the wirelessly networked nature of our modern so- ety open up new opportunities to handle di?cult decision-making situations such as computer-supported situation assessment and distributed decision making. To make good use of these new possibilities, we need to update our traditional views on the role and capabilities of information systems. The aim of the Interactive Collaborative Information Systems project is to develop techniques that support humans in complex information en- ronments and that facilitate distributed decision-making capabilities. ICIS emphasizes the importance of building actor-agent communities: close c- laborations between human and arti?cial actors that highlight their comp- mentary capabilities, and in which task distribution is ?exible and adaptive.

Riassunto

The increasing complexity of our world demands new perspectives on the role of technology in decision making. Human decision making has its li- tations in terms of information-processing capacity. We need new technology to cope with the increasingly complex and information-rich nature of our modern society. This is particularly true for critical environments such as crisis management and tra?c management, where humans need to engage in close collaborations with arti?cial systems to observe and understand the situation and respond in a sensible way. We believe that close collaborations between humans and arti?cial systems will become essential and that the importance of research into Interactive Collaborative Information Systems (ICIS) is self-evident. Developments in information and communication technology have ra- cally changed our working environments. The vast amount of information available nowadays and the wirelessly networked nature of our modern so- ety open up new opportunities to handle di?cult decision-making situations such as computer-supported situation assessment and distributed decision making. To make good use of these new possibilities, we need to update our traditional views on the role and capabilities of information systems. The aim of the Interactive Collaborative Information Systems project is to develop techniques that support humans in complex information en- ronments and that facilitate distributed decision-making capabilities. ICIS emphasizes the importance of building actor-agent communities: close c- laborations between human and arti?cial actors that highlight their comp- mentary capabilities, and in which task distribution is ?exible and adaptive.

Dettagli sul prodotto

Con la collaborazione di Robert Babuska (Editore), Frans C. A. Groen (Editore), Frans C.A. Groen (Editore), Robert Babuška (Editore), Rober Babuska (Editore), C A Groen (Editore), Robert Babu¿ka (Editore), C A Groen (Editore)
Editore Springer, Berlin
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 28.12.2009
Categoria Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie
 
EAN 9783642116872
ISBN 978-3-642-11687-2
Numero di pagine 586
Illustrazioni XXVI, 586 p. 204 illus.
Dimensioni (della confezione) 15.5 x 23.5 cm
Peso (della confezione) 1’077 g
 
Serie Studies in Computational Intelligence > 281
Studies in Computational Intelligence
Categorie B, machine learning, Artificial Intelligence, Modeling, Learning, Cognition, engineering, Reinforcement Learning, complexity, intelligence, decision support system, Information system, Computational Intelligence, Uncertainty, expert system
 

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