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Sivaramakrishnan

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CS297 Proposal
Online Collaborative Time Management System with Artificial Intelligence

Anand Sivaramakrishnan (anandsk123@gmail.com)

Advisor: Dr.Chris Pollett

Description:

    This project will implement an intelligent online collaborative system for scheduling different people's TO DO lists according to their daily routine. TO DO lists differ from calendar events in that the time frame for the event is less specified. You might have a due by date, and other tasks called prerequisites which need to be completed first. We will design a GUI interface to make it easy to add prerequisites (if any) for TO DO items. It will support different people adding items to other peoples' TO DO lists in much the same way as Google calendar supports adding new events to other peoples' calendars. One way to organize the order to do events using artificial intelligence techniques is to create a partial or total order plan. Our system will attempt to do this on people's TO DO lists. What is novel, however, in our setting is that it is online, that is, we do not know all of the events a priori as events can be added dynamically. So another goal of our project is to develop good algorithms to do this.

Week 1: Jan 23 - Jan 29Research and write the Proposal
Week 2 - Week 4: Jan 30 - Feb 19Compare and contrast Total Order Planning and Partial Order Planning in theory. Also develop a Total Order Planning Algorithm. Implement and test it. Deliverable 1
Week 5 - Week 7: Feb 20 - Mar 11Develop a Partial Order Planner. Deliverable 2
Week 8 - Week 11: Mar 12 - Apr 07Convert the above coded Partial Order Planner in an Object Oriented form.Deliverable 3
Week 12 - Week 13: Apr 08 - Apr 21Testing and decision making on GUIs for adding prerequisites into the system.Deliverable 4
Week 14 - Week 16: Apr 22 - May 12Final CS 297 Report. Deliverable 5


Deliverables:

The full project will be done when CS298 is completed. The following will be done by the end of CS297:

Deliverable 1: Implement the Total Order Planning Algorithm and try it on some test cases(situations).

Deliverable 2: Develop a Partial Order Planner.

Deliverable 3: Convert the Partial Order Planner of Deliverable 2 in an Object Oriented form and a few more test cases to it.

Deliverable 4: Sketch web GUIs for adding prerequistes to TO DO events.

Deliverable 5: Final CS 297 Report

References:

[1995] Artificial Intelligence: A Modern Approach. Peter Norvig, Stuart Russell. Prentice Hall Series. 1995.

[1999] Recent Advances in AI Planning. Sussanne Biundo, Maria Fox. ECP, Springer. 1999.

Craig Knoblock, Qiang Yang(1997) Relating the Performance of Partial Order Planning Algorithms to Domain Features . SIGART Bulletin, Vol. 6, No. 1, 8-15

[1997] Intelligent Planning: A Decomposition and Abstraction Based Approach (Artificial Intelligence). Qiang Yang, M Pollack. 1997