DocumentCode
3627023
Title
Incrementally Refined Acquaintance Model for Distributed Planning and Resource Allocation in Semi-trusted Environments
Author
Michal Pechoucek;Martin Rehak;Vladimir Marik
Author_Institution
Czech Tech. Univ., Prague
fYear
2007
Firstpage
391
Lastpage
394
Abstract
This paper presents a specific contracting algorithm that contributes to the process of distributed planning and resource allocation in competitive, semi-trusted environments. The presented contraction algorithm is based on incrementally refined acquaintance models (IRAM) of the agents that provide the right set of approximate knowledge needed for appropriate task decomposition.
Keywords
"Resource management","Process planning","Availability","Cost function","Intelligent agent","Technology planning","Competitive intelligence","Conferences","Electronic mail","Algorithm design and analysis"
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology Workshops, 2007 IEEE/WIC/ACM International Conferences on
Print_ISBN
0-7695-3028-1
Type
conf
DOI
10.1109/WI-IATW.2007.103
Filename
4427614
Link To Document