CALL FOR CHAPTERS
June 14, 2004
                      
BOOK TITLE: Intelligent Decision-Making Support Systems (i-DMSS):
            Foundations, Applications and Challenges.

CO-EDITORS:
Jatinder Gupta, PhD, UAH, USA, guptaj@uah.edu (Lead Editor)
Guisseppi Forgionne, PhD, UMBC, USA,  forgionn@umbc.edu (co-editor)
Manuel Mora, EngD, UAA, México, mmorauaamx@securenym.net  (co-editor)


PUBLISHER:
DECISION ENGINEERING SERIES
Anthony Doyle, (Engineering Editor, Springer)
and Rajkumar Roy (Series Editor)
SPRINGER-VERLAG LONDON
United Kingdom

THEME:
Decision-Making Support Systems (DMSS) are computer-based systems that
support some or several phases of the individual, team, organizational or
inter-organizational decision making process (Forgionne, Gupta and Mora,
2002; Forgionne, 1991). Research on DMSS can be focused on both
organizational and technical issues. From a technical perspective,
advances in Information Technologies (IT) have improved the support
capabilities for DMSS. In particular, Artificial Intelligence (AI) has
been recognized as a significant enhancement tool for DMSS (Goul,
Henderson and Tonge, 1992; Eom, 1998). However, despite the relevant
research progress in both DMSS and AI, the majority of the publications
are highly focused on either organizational or technical perspectives.  We
estimate that a summarization and organization of the main findings in
both fields are necessary to help focus the discussion on an integration
of the tools for effective decision-making support.

The proposed book will help: (i) generate a compendium of quality
theoretical and applied contributions in Intelligent Decision-Making
Support Systems (i-DMSS); (ii)  diffuse scarce knowledge about
foundations, architectures and effective and efficient methods and
strategies for successfully designing, developing, implementing, and
evaluating Intelligent Decision-Making Support Systems, and (iii) create
an awareness of, and a bridge between DMSS and AI academicians and
practitioners concerning the relevance of Intelligent Decision-Making
Support Systems in the current complex and dynamic management environment
(Gupta and Sharma, 2004).

References:

Eom, S. (1998). An Overview of Contributions to the Decision Support
Systems Area from Artificial Intelligence.  Proceedings of the AIS
Conference (1998), Baltimore, MA, USA, August 14-16.

Forgionne, G.A. (1991). Decision technology systems: a vehicle to
consolidate decision making support. Information Processing and
Management, 27(6), 679-797.

Forgionne, G.A., Gupta, J. N. D., Mora, M. (2002). Decision making support
systems: Achievements, challenges and opportunities: In : Mora, M.,
Forgionne, G., Gupta, J.N.D. (Eds.) :Decision making support systems:
achievements and challenges for the new decade. Idea Group, Hershey, PA, 392-403.

Goul, M., Henderson, J., Tonge, F. (1992). The Emergence of Artificial
Intelligence as a Reference Discipline for Decision Support Systems
Research. Decision Sciences, 23, 1263-1276.

Gupta, J. N. D., and Sharma, S. K., (2004) (eds) Intelligent Enterprises
for the 21st Century, Idea Group Publishing, Harrisburg, PA, in press.

SCOPE OF POSSIBLE CONTRIBUTIONS:

Chapters are solicited that contribute to these goals.  The book is
planned to be structured into three sections. Potential topics to be
included in each section are the following:

Section I. Theoretical Foundations for I-DMSS (Around 30% of chapters)

In this section, we will have chapters that provide theories, models or
frameworks for i-DMSS; real or potential architectures for i-DMSS;
comparative analysis among i-DMSS vs non-i-DMSS; and foundations of
specific AI-based technologies and their relationships to i-DMSS.

Section II. Applications of i-DMSS (Around 40% of chapters)

In this section, chapters will report case studies of innovative real
i-DMSS applications deploying specific AI based technologies, such as
logic rule-based systems, neural networks, fuzzy logic, cased-based
reasoning, genetic algorithms, data mining algorithms, intelligent agents,
user intelligent interfaces among others.

Section III. Technical and Organizational Trends of I-DMSS (Around 30% of
chapters)

In this last section, we will have chapters that analyze the implications,
challenges and trends of i-DMSS for individual, team, organizational or
inter-organizational decision making processes, from a technical and
organizational perspective.

SUBMISSION GUIDELINES:

Please send all submissions electronically to: mmorauaa@securenym.net,
with copy to  guptaj@uah.edu and forgionn@umbc.edu.The suggested length
for each manuscript will be 15 single-spaced pages using a font size of
Times Roman 10, including graphs, tables, figures, and references.Manuscripts should be prepared using the Springer-Verlag style guidelines
for authors (*).. A three-paged proposal including title, authors,
abstract (what, how and why issues)  and a main list of references is
required before August 15, 2004.

(*) Style guidelines can be downloaded at:
                      http://www.springeronline.com/sgw/cda/pageitems/document/cda_downloaddocument/0,10900,0-0-45-73172-0,00.pdf



IMPORTANT DATES:

*       August 15, 2004 - deadline for receipt of three-paged proposals
                      including title, authors, 500-word abstract and main list of references.
*	September 15, 2004 - deadline for notification of proposal accepted-
*       November 30, 2004 - deadline for receipt of 1st version of chapters
*       January 31, 2004 - deadline for notification of chapters accepted
*       March 31, 2005 - deadline for receipt of 2nd version of chapters-
*       May  31, 2005 - deadline for notification of final adjustments to
                      chapters and for receipt of camera ready versions
*       July 15, 2005 - submission of full manuscript to Springer-Verlag.

Publication date is scheduled for the first quarter 2006.

From: "Manuel Mora" 
Date: Mon, 14 Jun 2004 15:23:02 -0500 (CDT)
Manuel Mora, Eng.
Associate Professor
Dept. of Information Systems
Universidad Autonoma de Aguascalientes
www.uaa.mx