Improving agent-based meeting scheduling through preference learning.
This paper presented an autonomous Secretary Agent (SA) that can perform meeting scheduling task on behalf of their respective user through negotiations. Previous study of searching strategy uses relaxation process to allow agents negotiate by relaxing their preference when conflict arises. However...
Saved in:
Main Authors: | Sulaiman, Md. Nasir, Tang, En Lai, Selamat, Mohd Hasan, Muda , Zaiton |
---|---|
Format: | Article |
Language: | English |
Published: |
Asian Research Publication Network
2009
|
Online Access: | http://psasir.upm.edu.my/id/eprint/15144/ http://www.jatit.org |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems
by: Tang, En Lai
Published: (2007) -
AGENT MEETING SCHEDULER
by: ZAINAL ABIDIN, NURAINI
Published: (2011) -
Prototyping a Meeting Scheduling System (MSS)
by: Lim, Khong Wee
Published: (2003) -
Meeting scheduler with secured privacy web application
by: Lok, Samantha Tian Wen
Published: (2023) -
Meeting Scheduling System (MSS) / Ng Mun Ting
by: Ng , Mun Ting
Published: (2001)