[AISWorld] AMCIS 2010: Agent Based Information Systems Track CFP

Vijay Sugumaran sugumara at oakland.edu
Thu Jan 21 15:07:30 EST 2010


16th Americas Conference on Information Systems (AMCIS 2010 -
http://amcis2010.org/)

Lima, Peru, August 12 - 15, 2010

 

TRACK: Agent-Based Information Systems (SIGABIS)

Chair: Vijayan Sugumaran, Oakland University

 

Complete Papers Due: March 1, 2010

 

This Track is sponsored by AIS Special Interest Group on Agent-Based
Information Systems (SIGABIS). Best papers from this Track will be fast
tracked for publication in a special issue of International Journal of
Intelligent Information Technologies (IJIIT). 

 

The purpose of this track is to provide a forum for academics and
practitioners to identify and explore the issues, opportunities, and
solutions related to semantic technologies and intelligent systems design,
implementation, integration and deployment. An increasing number of
artificial intelligence-based systems are being developed in different
application domains employing a variety of tools and technologies. This
track is intended to increase cross-fertilization of ideas from these
domains, and share the lessons learned.

 

Mini-Tracks

=========

* Artificial Intelligence and Data Mining (Chair: Riyaz T. Sikora)

* Intelligent Agent & Multi-Agent Systems and Semantic Web Applications 

   (Co-chairs: Vijayan Sugumaran, Stefan Kirn)

 

A brief description of each of the mini-tracks is given below.

 

Mini-Track: Artificial Intelligence and Data Mining

 =======================================

Riyaz T. Sikora (co-chair SIGABIS)

University of Texas at Arlington

 

One of the side effects of the increase in connectivity and collaboration
has been the phenomenal increase in the magnitude and volatility of the
available data. Intelligent methods are now emerging as a way to deal with
this staggering variety and volume of data in distributed and heterogeneous
environments. This has become especially relevant since most large-scale
information systems applications of today assume that components will be
added dynamically and that they will be autonomous (serve different users or
providers and fulfill different goals) and heterogeneous (be built in
different ways).

 

The mini-track on AI and DM provides a forum to bring together like-minded
researchers, teachers, and practitioners to advance this important field.
The AI/DM mini-track will seek research and applications highlighting the
frontiers of new knowledge and advances in AI and DM. Topics of interest
include, but are not limited to:

 

* Foundations of AI and DM

* Machine Learning and Statistical Learning Algorithms

* Data Mining

* Pattern Recognition

* Intelligent Agents

* Heuristic Search

* Intelligent Information Retrieval

* Support Vector Machines

* Web/Text mining

* Intelligent Search Techniques

* Reinforcement Learning

 

 

Mini-Track: Intelligent Agent & Multi-Agent Systems and Semantic Web
Applications
===================================================================

Vijayan Sugumaran, Oakland University

Stefan Kirn, Universität Hohenheim

 

Intelligent agent and semantic technologies have been one of the most
important and rapidly advancing areas in Information Technology. There is a
tremendous explosion in the development of multi-agent systems and semantic
web applications in a variety of fields such as electronic commerce, supply
chain management, intelligent manufacturing, mass customization, information
retrieval and filtering, decision support, simulation, and healthcare. While
research on various aspects of intelligent agent and semantic technologies
is progressing at a very fast pace, this is only the beginning. There are
still a number of issues that have to be explored in terms of the design,
implementation and deployment of multi-agent systems and semantic
technologies. For example, salient characteristics of agents in different
domains, formal approaches for agent-oriented modeling, ontology based
information system, ontology engineering, semantic web for e-learning, and
organizational impact of agent-based systems & semantic technologies are
some of the areas in need of further research. The purpose of this
mini-track is to provide a forum for academics and practitioners to identify
and explore the issues, opportunities, and solutions related to intelligent
agent and semantic technology design, implementation, integration and
deployment.

 

Possible Topics (but not limited to):

* Intelligent Applications in Business

* Distributed Intelligent Systems

* Agent architectures and behavior models

* Models and architectures for agent-oriented information systems

* Agent-oriented software engineering

* Multi-agent systems and applications in various domains

* Agent collaboration and coordination

* Human and agent interaction models

* Agent-based e-commerce applications

* Semantic interoperability

* Semantic web for e-business and e-learning

* Service discovery, description, and composition

* Semantic Web mining

* Ontology creation, evolution, reconciliation, and mediation

* Ontology mapping, Integration, and/or alignment

* Software agents for Semantic Web

* Innovative Semantic Web/Ontology applications

* Semantic technologies and tools

 

Best papers from both the mini-tracks will be fast tracked for publication
in a special issue of International Journal of Intelligent Information
Technologies (IJIIT). 

 

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