Author:
Shakshuki Elhadi M.,Hossain S. M. Mozammal
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,Computer Science Applications,Hardware and Architecture
Reference32 articles.
1. Crawford E (2009) Learning to improve negotiation in semi-cooperative agreement problems, Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA. Available: http://reports-archive.adm.cs.cmu.edu/anon/2009/CMU-CS-09-111.pdf
2. Masli M, Geyer W, Dugan C, Brownholtz B (2011) The design and usage of tentative events for time-based social coordination in the enterprise. In: International world wide web conference
3. BenHassine A, Ho TB (2007) An agent-based approach to solve dynamic meeting scheduling problems with preferences. Eng Appl Artif Intell 20:857–873
4. Crawford E, Veloso M (2007) An experts approach to strategy selection in multiagent meeting scheduling. Auton Agents Multi-Agent Syst 15:5–28
5. Lai TE (2007) Neural network preference learning approaches for improving agent-based meeting scheduling problems, M.Sc. Thesis, Universiti Putra, Malaysia. Available: http://psasir.upm.edu.my/5218/1/FSKTM_2007_19.pdf
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