CSCE 475/875
Seminar Assignment
November 7, 2007
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
Dates (with one seminar per date):
December 3, 5, 7, 10, 12, and 14
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.
Helleboogh,
A., G. Vizzari, A. Uhrmacher, and F. Michel (2007). Modeling Dynamic Environments in Multi-Agent
Simulation, Journal of Autonomous Agents and Multiagent Systems, 14:87-116. (hellebooghetal2007)
Horling, B. and V.
Lesser (2005). A Survey of Multi-Agent
Organizational Paradigms, Knowledge
Engineering Review, (horlinglesser2005.pdf)
Huhns, M. N. and M.
P. Singh (1999). A Multiagent Treatment
of Agenthood, Applied Artificial Intelligence, 13(1-2):3-10. (hughsingh1999.pdf)
Padgham, L. and P.
Lambrix (2005). Formalisations of
Capabilities for BDI-Agents, Journal of Autonomous Agents and Multiagent
Systems, 10:249-271. (padghamlambrix2005)
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)
Valckenaers,
P., J. Sauter, C. Sierra, and J. A. Rodriguez-Aguilar (2007). Applications and Environments for Multi-Agent
Systems, Journal of Autonomous Agents and Multiagent Systems, 14:61-85. (valckenaersetal2007)
Crawford,
E. and M. Veloso (2007). An Experts
Approach to Strategy Selection in Multiagent Meeting Scheduling, Journal of
Autonomous Agents and Multiagent Systems, 15:5-28. (crawfordveloso2007)
Dunne, P. E., M.
Wooldridge, and M. Laurence (2005). The
Complexity of Contract Negotiation, Artificial
Intelligence, 164(1-2):23-46.
(dunneetal2005.pdf)
Dolgov, D. A. and E. H. Durfee (2006)
Resource Allocation Among Agents with MDP-Induced Preferences, Journal of Artificial Intelligence Research, 27:505-549. (dolgovdurfee2006.pdf)
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)
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)
Grosz, B. and S. Kraus (1996). Collaborative plans for complex group action,
Artificial Intelligence, 86(2):269-357. (groszkraus1996.pdf)
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)
Grosz, B. J., S.
Kraus, D. G. Sullivan, and S. Das (2002).
The Influence of Social Norms and Social Consciousness on Intention
Reconciliation, Artificial Intelligence, 142:147-177. (groszetal2002.pdf)
Huynh, T.
D., N. R. Jennings, and N. R. Shadbolt (2006).
An Integrated Trust and Reputation Model for Open Multi-Agent Systems, Journal
of Autonomous Agents and Multiagent Systems, 13:119-154. (huynhetal2006.pdf)
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)
Nair, R. and M. Tambe
(2005). Hybrid BDI-POMDP Framework for
Multiagent Teaming, Journal of Artificial
Intelligence Research, 23(4):367-420. (nairtambe2005.pdf)
Parsons,
S., C. Sierra and N. R. Jennings (1998).
Agents that Reason and Negotiate by Arguing, Journal of Logic and
Computation, 8(3):261-292.
(parsonsetal1998.pdf)
Raja, A.
and V. Lesser (2007). A Framework for
Meta-Level Control in Multi-Agent Systems, to appear in Journal of
Autonomous Agents and Multiagent Systems. (rajalesser2007.pdf)
Ros, R. and C. Sierra
(2006). A Negotiation Meta Strategy
Combining Trade-Off and Concession Moves, Journal of Autonomous Agents and
Multiagent Systems, 12:163-181.
(rossierra2006.pdf)
Sandip, S. (2002). Believing
Others: Pros and Cons, Artificial
Intelligence, 142:179-203 (sandip2002.pdf)
Soh, L.-K. and C.
Tsatsoulis (2005). A Real-Time
Negotiation Model and A Multi-Agent Sensor Network Implementation, Journal
of Autonomous Agents and Multiagent Systems, 11:215-271. (sohtsatsoulis2005.pdf)
Stone, P., M. L.
Littman, S. Singh, and M. Kearns (2001).
ATTac-2000: An Adaptive
Autonomous Bidding Agent, Journal of Artificial Intelligence Research, 15:189-206.
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)
Zhang, X., V. Lesser, and R. Podorozhny (2005). Multi-Dimensional, MultiStep Negotiation for
Task Allocation in a Cooperative System, Journal of Autonomous Agents and
Multiagent Systems, 10:5-40.
(zhangetal2005.pdf)
Learning
Banerjee, B. and J. Peng
(2007). Generalized Multiagent Learning
with Performance Bound, to appear in Journal of Autonomous Agents and
Multiagent System. (banerjeepeng2007)
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)
Bowling, M. and M. Veloso (2002). Multiagent Learning Using a Variable Learning
Rate, Artificial Intelligence, 136:215-250. (bowlingveloso2002.pdf)
Buffet, O., A. Dutech, and F.
Charpillet (2007). Shaping Multi-Agent
Systems with Gradient Reinforcement Learning, to appear in Journal of
Autonomous Agents and Multiagent Systems.
(buffetetal2007.pdf)
Bulka, B., M. Gaston, and M.
desJardins (2007). Local Strategy
Learning in Networked Multi-Agent Team Formation, Journal of Autonomous
Agents and Multiagent Systems, 15:29-45. (bulkaetal2007.pdf)
Enembreck, F. and J.-P. Barthés
(2005). ELA—A New Approach for Learning
Agents, Journal of Autonomous Agents and Multiagent Systems, 10:215-248. (enembreckbarthes2005.pdf)
Ghavamzadeh, M., S. Mahadevan, and R. Makar
(2006). Hierarchical Multi-Agent
Reinforcement Learning, Journal of Autonomous Agents and Multiagent Systems,
13:197-229.
(ghavamzadehetal2006.pdf)
Panait, L. and S. Luke (2005). Cooperative Multi-Agent Learning: The State
of the Art, Journal of Autonomous Agents and Multiagent Systems, 11:387-434. (panaitluke2005.pdf)
Plaza, E. and S. Ontañón (2006).
Learning Collaboration Strategies for Committees of Learning Agents, Journal
of Autonomous Agents and Multiagent Systems, 13:429-461. (plazaontanon2006.pdf)
Stone, P., R. S. Sutton, and G.
Kuhlmann (2005). Reinforcement Learning
for RoboCup-Soccer Keepaway, Adaptive
Behavior, 13(3):165-188. (stoneetal2005.pdf)
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)
Stone, P. and M.
Veloso (1999). Task Decomposition,
Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time
Strategic Teamwork, Artificial Intelligence, 100(2):241-273. (stoneveloso1999.ps)
Bazzan, A.
L. C. (2005). A Distributed Approach for
Coordination of Traffic Signal Agents, Journal of Autonomous Agents and
Multiagent Systems, 10:131-164.
(bazzan2005.pdf)
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)
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)
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)
Requirements
Each group is required to give a presentation of close to but no more than 35 minutes (the talk itself). All members of the group must present roughly for the same amount of time. 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 15-minute seminar (Q&A), all members are required to answer questions. If one of you answers no questions, the group will be penalized. I will also ask some 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.