Paper Info
Title
Incrementally Refined Acquaintance Model for Distributed Planning and Resource Allocation in Semi-trusted Environments
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.
Year
DOI
Venue
2007
10.1109/WI-IATW.2007.103
Web Intelligence/IAT Workshops
Keywords
Field
DocType
resource allocation
Data mining,Computer science,Knowledge management,Multi-agent system,Resource allocation,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-3028-1
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Michal Pěchouček11134133.88
Martin Rehak225128.57
Vladimir Mařík348663.00