A personal meeting scheduling agent

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.

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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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1. TPMARL-MSS Thought-Perception Multi-Agent Reinforcement Learning Meeting Scheduling System;2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2023-12-17

2. Survey of automated meeting scheduling approaches;Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology;2020-11-16

3. Evaluating intelligent knowledge systems: experiences with a user-adaptive assistant agent;Knowledge and Information Systems;2016-12-07

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