-------- Original-Nachricht -------- Betreff: [isworld] CFP: 2009 DSI Annual Meeting (Nov. 14-17), Track on DSS/AI/EXPERT SYSTEMS Datum: Mon, 16 Feb 2009 19:03:02 -0500 Von: Silvana strimi@unlnotes.unl.edu Antwort an: Silvana strimi@unlnotes.unl.edu An: AISWORLD Information Systems World Network isworld@lyris.isworld.org
I would like to invite submissions to the track: DSS/AI/EXPERT SYSTEMS
Which is part of the 40th Decision Sciences Institute (DSI) Annual Meeting being held at:
DSI 2009, New Orleans, Louisiana November 14 - 17, 2009 http://www.decisionsciences.org/annualmeeting
Authors can submit a refereed research paper (that will receive reviews from at least two referees) or submit a non-refereed research abstract of 50 words or less (500 characters maximum). Authors are required to submit all contributions online. For further details and instructions check the conference website.
Deadline for paper submission:
- April 1, 2009 - deadline for submitting refereed papers. - May 1, 2009 - deadline for submitting non-refereed abstracts. - July 1, 2009 (on or before) - results of refereed paper reviews announced. - July 1, 2009 - first day to submit files for the Proceedings. - September 1, 2009 - last day to submit files for the Proceedings. - September 14, 2009 - deadline for submitting corrections to the preliminary program.
DSS in conjunction with artificial intelligence (AI) are becoming more sophisticated and helpful in assisting decision makers in problem solving. Data-driven DSS have to tap in ever-exponential growth of data, while mode-driven DSS are getting more and more sophisticated. On the other hand, AI, the science and engineering of computational machines that behave like humans, has been expanding its applications and usage, from computer science to other fields such as medicine, business, finance etc. It is helping DSS to become more efficient, effective, and sophisticated. AI, including neural networks, is increasingly being used by search engines and knowledge management systems to search and organize data.
The purpose of this track is to provide a forum for academics and practitioners to identify and explore the important issues, new developments, and opportunities in this field. Some (broad) topics of interest include but are not limited to: - Gaming: using games for simulation, learning, training. - Expert systems - Intelligent agents - Natural language - Voice recognition, vision systems - Learning systems and neural networks - Search engines and semantic webs
Track Chair: Silvana Trimi Associate Professor University of Nebraska � Lincoln strimi@unlnotes.unl.edu
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