Title
Organizational and Agent-based Automated Negotiation Model for Carpooling.
Abstract
In the carpooling, individuals need to communicate, negotiate and in most cases adapt their daily schedule to enable cooperation. Through negotiation, agents (individuals) can reach complex agreements in an iterative way which meet the criteria for successful negotiation. The result of the negotiation depends on “negotiation mechanism” used to match and on the behavior of the agents involved in the negotiation process. This paper presents an organizational and agent-based model for commuting by candidate carpoolers using a simple negotiation mechanism aimed at finding an acceptable agreement between agents to carpool. Initially, the agents involved in exploration process, search for their partners via some kind of Agent Communication Language (ACL); after finding potential partners, they start a negotiation to find matched partner to carpool. After having found a good match, the agents can carpool for a specified time period. The agents join the carpool group when the negotiation is successful and leave the carpool group when the agreed time period is expired. Agents can be part of several carpool groups sequentially. The first implementation used home and work locations as well as preferred trip start times and carpool periods determined by uniformly sampling given sets. Furthermore a simplistic negotiation mechanism used roughly to produce possible results for the synthetic data. An automated negotiation model is implemented and validated through simulation. The Janus multi-agent platform is used. Future research will mainly focus on the development of behaviorally sound negotiation mechanism.
Year
DOI
Venue
2014
10.1016/j.procs.2014.08.059
Procedia Computer Science
Keywords
Field
DocType
Negotiation,carpooling,negotiation model,agent-based social simulation,Organizational model,Agent technology,Janus platform,
Work Locations,Trip start,Agent-based social simulation,Carpool,Organizational model,Computer science,Knowledge management,Operations research,Multi-agent system,Artificial intelligence,Machine learning,Negotiation
Conference
Volume
ISSN
Citations 
37
1877-0509
3
PageRank 
References 
Authors
0.47
9
7
Name
Order
Citations
PageRank
Iftikhar Hussain1315.02
Luk Knapen28622.42
Stéphane Galland319223.57
Davy Janssens423838.08
Tom Bellemans57323.16
Ansar-Ul-Haque Yasar611842.31
Geert Wets776667.59