Interactive Collaborative Information Systems

Frans C. A. Groen

ISBN 10: 3642116876 / ISBN 13: 9783642116872

Edité par Springer Berlin Heidelberg Apr 2010, 2010

A propos de cet article

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 616 pp. Englisch.

N° de réf. du vendeur 9783642116872

Détails bibliographiques

• Titre: Interactive Collaborative Information Systems
• Éditeur: Springer Berlin Heidelberg Apr 2010
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 3642116876
• ISBN à 13 chiffres: 9783642116872
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 42 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 42 millimètres de profondeur
• Poids: 1193 grammes

A propos de ce titre

Synopsis

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.