AI workflow management in a collaborative environment

Authors:
Michelle Cheatham;Michael T. Cox
Affiliations:
AFRL;BBN Technologies
Venue:
CTS'05 Proceedings of the 2005 international conference on Collaborative technologies and systems
Year:
2005

Citing 5
Cited 0

PRODIGY 4.0: The Manual and Tutorial

PRODIGY 4.0: The Manual and Tutorial
Service -Oriented Computing: Concepts, Characteristics and Directions

WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
A Rule Based Approach to the Service Composition Life-Cycle

WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
An intelligent assistant for interactive workflow composition

Proceedings of the 9th international conference on Intelligent user interfaces
Artificial Intelligence and Grids: Workflow Planning and Beyond

IEEE Intelligent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Collaborative environments allow geographically distributed groups to work together to generate new knowledge. These systems contain many tools to facilitate collaboration, including workflow management systems (WfMS). WfMS allow multiple agents to work towards achieving a common goal by enabling communication between them. This paper presents a brief overview of collaborative environments in general, and then discusses the distinctive characteristics of current WfMS. We consider the utility of using techniques employed in next-generation grid-based WfMS in collaborative systems that are available today. Specifically, the idea of constructing workflows by applying artificial intelligence planning techniques to a user-specified goal is explored.