An architecture to address uncertain requirements and composability for intelligent agents in distributed simulations

Authors:
Martin R. Stytz;Sheila B. Banks
Affiliations:
Air Force Research Laboratory, Wright-Patterson AFB, OH;Air Force Research Laboratory, Wright-Patterson AFB, OH
Venue:
Design and application of hybrid intelligent systems
Year:
2003

Citing 10
Cited 1

The Unified Modeling Language user guide

The Unified Modeling Language user guide
On agent-based software engineering

Artificial Intelligence
Every agent a web server, every agent community an intranet…

Proceedings of the fifth international conference on Autonomous agents
The distributed mission training integrated threat environment system architecture and design

ACM Transactions on Modeling and Computer Simulation (TOMACS)
XML: A Primer

XML: A Primer
Rapid Prototyping for Distributed Virtual Environments

IEEE Software
Business Object Component Architecture

IEEE Software
An Actor-Based Architecture for Customizing and Controlling Agent Ensembles

IEEE Intelligent Systems
Progress and prospects for the development of computer-generated actors for military simulation: part I-Introduction and background

Presence: Teleoperators and Virtual Environments
Progress and prospects for the development of computer-generated actors for military simulation: part 2-reasoning system architectures and human behavior modeling

Presence: Teleoperators and Virtual Environments - Fourth international workshop on presence

Evolving an immersive medical communication skills trainer

Presence: Teleoperators and Virtual Environments - Special issue: IEEE VR 2005

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we describe an architecture for computer-generated intelligent agent actors (CGAs) that exploits the technological advantages provided by object-orientation, component software, software frameworks, gauges, migration assistants, containerization, and rapid prototyping. These teclnologies allow the architecture to support composability, flexibility, re-usability, and generality for the CGAs that the architecture supports. The architecture consists of highly modular components and two frameworks where interdependencies are well defined, documented, and minimized. In this paper we discuss the architecture, its constituent elements and their functionality, and discuss some conclusions about CGA architectures.