Paper Info
Title
Hierarchical And Heterogenous Reactive Agents For Real-Time Applications
Abstract
We present a generic concept for autonomous agents with reactive behavior based on situation recognition in real-time environments. Our approach facilitates behavior development through specialization of existing behavior types or weighted multiple inheritance in order to create new types. Additionally, the system allows for the simultaneous generation of hierarchical and semi-individual group organizations using specification and recursive or modulo-based patterns. Our framework is designed to support the creation of large numbers of secondary characters with individual and group behavior in simulation environments such as game engines. The engine allows for the specification of a maximal time-per-run in order to guarantee a minimal and constant frame-rate. We demonstrate the usefulness of our approach by various examples with up to hundreds of individuals.
Year
DOI
Venue
2003
10.1111/1467-8659.00679
COMPUTER GRAPHICS FORUM
Keywords
Field
DocType
real time,group behavior,multiple inheritance,autonomous agent
Autonomous agent,Support system,Group behavior,Modulo,Computer science,Real-time computing,Theoretical computer science,Multi-agent system,Recursion,Distributed computing,Multiple inheritance
Journal
Volume
Issue
ISSN
22
3
0167-7055
Citations 
PageRank 
References 
13
0.79
18
Authors
2
Name
Order
Citations
PageRank
Christoph Niederberger1382.90
Markus H. Gross210154549.95