Enhancing Human Choice by Information Technologies

The paper discusses what the research community in the field of information technologies can do to improve quality of life by offering more alternatives both to individuals and to the society. Moreover, attention is given to the present IT tools which can be used to support decision making and choice among possible alternatives in complex settings. The role of ITS in achieving this goal is explained and illustrated by examples in different fields, including environmental decision-making and health care. Enhanced possibilities of choice in collaborative settings supported by new media and computer networks are also shown. Besides the role of ITS that support this enhancement, the importance of non-technological aspects is presented with special emphasis on responsibility and network intelligence.

[1]  Richard A. Chechile,et al.  Environmental decision making: a multidisciplinary perspective. , 1991 .

[2]  Marko Bohanec,et al.  DEX: An Expert System Shell for Decision Support • , 1990 .

[3]  Adam Farquhar,et al.  The Road Ahead for Knowledge Management: An AI Perspective , 2000, AI Mag..

[4]  Marko Bohanec,et al.  An Experiment in Participative Environmental Decision Making , 2006 .

[5]  Nada Lavrac,et al.  Managing business intelligence in a virtual enterprise: A case study and knowledge management lessons learned , 2003, J. Intell. Fuzzy Syst..

[6]  G. R. Brundtland Our Common Future World Commission on Environment and Development , 1987 .

[7]  Dunja Mladenic,et al.  Data mining and decision support : integration and collaboration , 2003 .

[8]  Branko Kavsek,et al.  Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies , 2005, AIME.

[9]  Jim Hunter,et al.  Proceedings of the 11th conference on Artificial Intelligence in Medicine , 2005 .

[10]  B. Mckibben Enough: Staying Human in an Engineered Age , 2003 .

[11]  Erik Brynjolfsson,et al.  Understanding the Digital Economy: Data, Tools, and Research , 2000 .

[12]  W. Malcolm Byrnes McKibben, Bill. Enough: Staying Human in an Engineered Age , 2004 .

[13]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[14]  John Scott What is social network analysis , 2010 .

[15]  F Chessa,et al.  Enough: staying human in an engineered age , 2004, Journal of Medical Ethics.

[16]  Nada Lavrac,et al.  Active subgroup mining: a case study in coronary heart disease risk group detection , 2003, Artif. Intell. Medicine.

[17]  David Knoke,et al.  Social Network Analysis: Methods and Applications. , 1996 .

[18]  I. Donaldson,et al.  Rebuilt. How becoming part computer made me more human , 2006 .

[19]  Hamideh Afsarmanesh,et al.  Elements of a base VE infrastructure , 2003, Comput. Ind..

[20]  Efrem G. Mallach,et al.  Decision Support and Data Warehouse Systems , 2000 .

[21]  Rob Kling,et al.  Fair information practices with computer supported cooperative work , 1993, SIGO.

[22]  Adam Farquhar,et al.  The Road Ahead for Knowledge Management , 2000 .

[23]  Joy Palmer,et al.  The Human Organization , 1997, J. Knowl. Manag..

[24]  Vladislav Rajkovic,et al.  Multi-Attribute Decision Modeling: Industrial Applications of DEX , 1999, Informatica.

[25]  KlingRob,et al.  IT and organizational change in digital economies , 1999 .

[26]  Dunja Mladenic,et al.  Internet Support to Collaboration , 2003 .

[27]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[28]  Gregory Piatetsky-Shapiro,et al.  Advances in Knowledge Discovery and Data Mining , 2004, Lecture Notes in Computer Science.

[29]  G. Brundtland,et al.  Our common future , 1987 .