CSCE 475/875

Seminar Assignment

March 28, 2006

Introduction

The objective of this assignment is to let every group (1) learn to present a paper well and (2) learn to participate in a seminar well. So it is more than a presentation. It is a seminar where you are required to ask good questions and answer questions well.

Setup

E-mail me to let me know the paper and the date that you want to present. Every group must present a different paper from the others. So, the sooner you let me know, the more likely you will get to present the paper that you want to present.

Grading:

(1) 40% Summary of Paper

(2) 20% Organization (Time management, flow of presentation, poise, etc.)

(3) 20% Conclusions (Comparisons, insights, etc.)

(4) 20% Q&A and Participation

Papers

You are required to choose one of the following papers. I have the electronic copies of the following papers. If you want one, let me know.

Multiagent Systems

M1. Huhns, M. N. and M. P. Singh (1999). A Multiagent Treatment of Agenthood, Applied Artificial Intelligence, 13(1-2):3-10. (hughsingh1999.pdf)

M2. Pynadath, D. and M. Tambe (2002). The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models, Journal of Artificial Intelligence Research, 1(6):389-423. (pynadathtambe2002.pdf)

M3. Horling, B. and V. Lesser (2005).  A Survey of Multi-Agent Organizational Paradigms, Knowledge Engineering Review. (horlinglesser2005.pdf)

Negotiations and Cooperation

N1. Faratin, P., C. Sierra, and N. R. Jennings (1998). Negotiation Decision Functions for Autonomous Agents, Int. Journal of Robotics and Autonomous Systems, 24(3-4):159-182. (faratinetal1998.pdf)

N2. Faratin, P., C. Sierra, and N. R. Jennings (2002). Using Similarity Criteria to Make Issue Trade-Offs in Automated Negotiations, Artificial Intelligence, 142:205-237. (faratinetal2002.pdf)

N3. Grosz, B. and S. Kraus (1996). Collaborative plans for complex group action, Artificial Intelligence, 86(2):269-357. (groszkraus1996.pdf)

N4. Grosz, B. J. and S. Kraus (1998). The evolution of SharedPlans, in Rao, A. and M. Wooldridge (eds.) Foundations and Theories of Rational Agency, Kluwer Academic Publishing. (groszkraus1998.pdf)

N5. Dunne, P. E., M. Wooldridge, and M. Laurence (2005).  The Complexity of Contract Negotiation, Artificial Intelligence, 164(1-2):23-46.  (dunneetal2005.pdf)

N6. Sandip, S. (2002). Believing Others: Pros and Cons, Artificial Intelligence, 142:179-203 (sandip2002.pdf)

N7. Li, C., J. A. Giampapa, and K. Sycara (2006).  Bilateral Negotiation Decisions with Uncertain Dynamic Outside Options, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Special Issue on Game-Theoretic Analysis and Stochastic Simulation of Negotiation Agents, 36(1).  (lietal2006.pdf)

N8. Nair, R. and M. Tambe (2005).  Hybrid BDI-POMDP Framework for Multiagent Teaming, Journal of Artificial Intelligence Research, 23(4):367-420.  (nairtambe2005.pdf)

N9. van der Hoek, W. and M. Wooldridge (2005).  On the Logic of Cooperation and Propositional Control, Artificial Intelligence, 164(1-2):81-119.  (vanderhoekwooldridge2005.pdf)

Swarm

S1. Dorigo, M., V. Maniezzo, and A. Colorni (1996). The Ant System: Optimization by a Colony of Cooperating Agents, IEEE Transactions on Systems, Man, and Cybernetics-Part B, 26(1):1-13. (dorigoetal1996.pdf)

Robots

R1. Bojinov, H., A. Casal, T. Hogg (2002). Multiagent Control of Self-Configurable Robots, Artificial Intelligence, 142:99-120. (bojinovetal2002.pdf)

Learning

L1. Bowling, M. and M. Veloso (2002). Multiagent Learning Using a Variable Learning Rate, Artificial Intelligence, 136:215-250. (bowlingveloso2002.pdf)

L2. Vidal, J. M. and E. H. Durfee (2003). Predicting the Expected Behavior of Agents that Learn about Agents: The CLRI Framework, Autonomous Agents and Multi-Agent Systems, 6(1):77-107. (vidaldurfee2003.pdf)

L3. Banerjee, B., S. Sen, and S. Saha (2004).  On-Policy Concurrent Reinforcement Learning, Journal of Experimental and Theoretical Artificial Intelligence, 16(4):245-260.  (banerjeeetal2004.pdf)

Monitoring

MO1. Kaminka, G. A., D. V. Pynadath, and M. Tambe (2002). Monitoring Teams by Overhearing: A Multi-Agent Plan-Recognition Approach, Journal of Artificial Intelligence Research, 17:83-135. (kaminkaetal2002.pdf)

MO2. Wilkins, D. E., T. J. Lee, and P. Berry (2003). Interactive Execution Monitoring of Agent Teams, Journal of Artificial Intelligence Research, 18:217-261. (wilkinsetal2003.pdf)

MO3. Nair, R., M. Tambe, S. Marsella, and R. Raines (2004).  Automated Assistants for Analyzing Team Behaviors, Journal of Autonomous Agents and Multiagent Systems, 8(1):69-111.  (nairetal2004.pdf)

Requirements

Each group is required to give a presentation of close to but no more than 45 minutes (the talk itself). Both members of the group must present roughly for the same amount of time (~22 minutes per person). All members of a team receive the same score. (That means, you are required to work together to get your presentation well-oiled. Critique each other when you practice.)

During the seminar (Q&A), both members are required to answer questions. If only one of you answers the question, the group will be penalized. I will also ask some questions. The length of the Q&A depends on the time we have and the number of questions.

Every group is required to ask at least two questions in each presentation (except for their own presentation).

Every group is required to give me an electronic copy of their presentation at least 3 hours before the class starts on the day of their seminar. So I can make copies for all students.