Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches

Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches

Indexed In: SCOPUS
Release Date: October, 2010|Copyright: © 2011 |Pages: 498
DOI: 10.4018/978-1-60960-091-4
ISBN13: 9781609600914|ISBN10: 1609600916|EISBN13: 9781609600938
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Description & Coverage
Description:

The information age has enabled unprecedented levels of data to be collected and stored. At the same time, society and organizations have become increasingly complex. Consequently, decisions in many facets have become increasingly complex but have the potential to be better informed.

Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches includes chapters from diverse fields of enquiry including decision science, political science, argumentation, knowledge management, cognitive psychology and business intelligence. Each chapter illustrates a perspective on group reasoning that ultimately aims to lead to a greater understanding of reasoning communities and inform technological developments.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Cognitive tools for group decision making
  • Communication and group performance
  • Communities of practice in knowledge management
  • Deliberative decision-making
  • Deliberative democracy
  • Group decision making for advanced manufacturing technology
  • Group decision methods
  • Information sharing and processing in computer mediated interactions
  • Intersubjective reasoning
  • Sociometric feedback
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Editor/Author Biographies
John Yearwood is Professor and Dean of School of Science, Information Technology, and Engineering, University of Ballarat, Australia. His research spans areas of pattern recognition, argumentation, reasoning, decision support, Web services, and their applications. He has been chief investigator on a number of ARC projects in these areas. His work has involved the development of new algorithms and approaches to classification based on modern non-smooth optimization techniques, new frameworks for structured reasoning, and their application in decision support and knowledge modelling. Some important outcomes relate to the use of text categorization techniques for detecting drugs responsible for adverse reactions. He is currently an ARC research fellow working in the area of argumentation and narrative structures. He is an associate editor for the Journal of Research and Practice in Information Technology. He has over 210 refereed journal and conference publications.

Andrew Stranieri Associate Professor, is the Director of the Centre for Informatics and Applied Optimisation in the School of Science, Information Technology, and Engineering at the University of Ballarat. He adapted his training in psychology and counselling experience to inform his research into cognitive models of argumentation and artificial intelligence. With co-author Professor John Yearwood, he developed the Generic/Actual Argument Model (GAAM). This research was instrumental in modelling decision making in refugee law, copyright law, eligibility for legal aid, sentencing, and research ethics developed by a spin-out company he managed. His research in health informatics spans data mining in health, complementary and alternative medicine informatics, telemedicine, and intelligent decision support systems. He is the author of over 100 peer reviewed journal and conference articles and books.

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