List of Research Papers

A. Applications of MAS

  1. Multiuser Museum Interactives for Shared Cultural Experiences: An Agent-Based Approach, AAMAS 2013, Matthew Yee-King (Goldsmiths College, University of London, UK), Roberto Confalonieri (Goldsmiths College, University of London, UK), Dave de Jonge (Artificial Intelligence Research Institute, Spain), Katina Hazelden (Goldsmiths College, University of London, UK), Carles Sierra (Artificial Intelligence Research Institut, Spain), Mark d'Inverno (Goldsmiths College, University of London, UK), Leila Amgoud (Université Paul Sabatier, France), Nardine Osman (Artificial Intelligence Research Institute, Spain)
  2. Modeling Human Behavior in the Aftermath of a Hypothetical Improvised Nuclear Detonation, AAMAS 2013, Nidhi Parikh (Virginia Bioinformatics Institute, Virginia Tech, USA), Samarth Swarup (Virginia Bioinformatics Institute, Virginia Tech, USA), Paula E. Stretz (Virginia Bioinformatics Institute, Virginia Tech, USA), Caitlin M. Rivers (Virginia Bioinformatics Institute, Virginia Tech, USA), Bryan L. Lewis (Virginia Bioinformatics Institute, Virginia Tech, USA), Madhav V. Marathe (Virginia Bioinformatics Institute, Virginia Tech, USA), Stephen G. Eubank (Virginia Bioinformatics Institute, Virginia Tech, USA), Christopher L. Barrett (Virginia Bioinformatics Institute, Virginia Tech, USA), Kristian Lum (Virginia Bioinformatics Institute, Virginia Tech, USA), Youngyun Chungbaek (Virginia Bioinformatics Institute, Virginia Tech, USA)
  3. Optimal Patrol Strategy for Protecting Moving Targets with Multiple Mobile Resources, AAMAS 2013, Fei Fang (University of Southern California, USA), Albert Xin Jiang (University of Southern California, USA), Milind Tambe (University of Southern California, USA)
  4. Agents vs. Pirates: Multi-agent Simulation and Optimization to Fight Maritime Piracy, AAMAS 2012, Michal Jakob, Ondřej Vanĕk, Ondřej Hrstka, Michal Pĕchouček

B. Energy Management and MAS

  1. TESLA: An Energy-Saving Agent That Leverages Schedule Flexibility, AAMAS 2013, Jun-young Kwak (University of Southern California, USA), Pradeep Varakantham (Singapore Management University, Singapore), Rajiv Maheswaran (University of Southern California, USA), Yu-Han Chang (University of Southern California, USA), Milind Tambe (University of Southern California, USA), Burcin Becerik-Gerber (University of Southern California, USA), Wendy Wood (University of Southern California, USA)
  2. Complex-Demand Knapsack Problems and Incentives in AC Power Systems, AAMAS 2013, Lan Yu (Nanyang Technological University, Singapore), Chi-Kin Chau (Masdar Institute of Science and Technology, UAE)
  3. AgentSwitch: Towards Smart Energy Tariff Selection, AAMAS 2013, Sarvapali D. Ramchurn (University of Southampton, UK), Michael A. Osborne (University of Oxford, UK), Oliver Parson (University of Southampton, UK), Talal Rahwan (University of Southampton, UK), Sasan Maleki (University of Southampton, UK), Steve Reece (University of Oxford, UK), Trung D. Huynh (University of Southampton, UK), Muddasser Alam (University of Southampton, UK), Joel E. Fischer (University of Nottingham, UK), Tom Rodden (University of Nottingham, UK), Luc Moreau (University of Southampton, UK), Stephen Roberts (University of Oxford, UK)
  4. Two-Sided Online Markets for Electric Vehicle Charging, AAMAS 2013, Enrico H. Gerding (University of Southampton, UK), Sebastian Stein (University of Southampton, UK), Valentin Robu (University of Southampton, UK), Dengji Zhao (University of Western Sydney, Australia), Nicholas R. Jennings (University of Southampton, UK)
  5. SAVES: A Sustainable Multiagent Application to Conserve Building Energy Considering Occupants, AAMAS 2012, Jun-young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood
  6. Improving Building Energy Efficiency with a Network of Sensing, Learning and Prediction Agents, AAMAS 2012, Sunil Mamidi, Yu-Han Chang, Rajiv Maheswaran
  7. iCO2: Multi-User Eco-Driving Training Environment Based on Distributed Constraint Optimization, AAMAS 2013, Marconi Madruga (National Institute of Informatics, Japan), Helmut Prendinger (National Institute of Informatics, Japan)
  8. Agent-Based Control for Decentralised Demand Side Management in the Smart Grid, AAMAS 2011, Sarvapali D. Ramchurn, Perukrishnen Vytelingum, Alex Rogers, Nicholas R. Jennings
  9. Deploying Power Grid-Integrated Electric Vehicles as a Multi-Agent System, AAMAS 2011, Sachin Kamboj, Willett Kempton, Keith S. Decker
  10. Cooperatives of Distributed Energy Resources for Efficient Virtual Power Plants, AAMAS 2011, Georgios Chalkiadakis, Valentin Robu, Ramachandra Kota, Alex Rogers, Nicholas R. Jennings
  11. How Agents Can Help Curbing Fuel Combustion – a Performance Study of Intersection Control for Fuel-Operated Vehicles, AAMAS 2011, Natalja Pulter, Heiko Schepperle, Klemens Böhm
  12. Decentralized Coordination Of Plug-in Hybrid Vehicles For Imbalance Reduction In A Smart Grid, AAMAS 2011, Stijn Vandael, Klaas De Craemer, Nelis Boucké, Tom Holvoet, Geert Deconinck

C. Learning and MAS

  1. Teaching on a Budget: Agents Advising Agents in Reinforcement Learning, AAMAS 2013, Lisa Torrey (St. Lawrence University, USA), Matthew E. Taylor (Washington State University, USA)
  2. Coordinating Multi-Agent Reinforcement Learning with Limited Communication, AAMAS 2013, Chongjie Zhang (University of Massachusetts, Amherst, USA), Victor Lesser (University of Massachusetts, Amherst, USA)
  3. Using Conflict Resolution to Inform Decentralized Learning, AAMAS 2013, Shanjun Cheng (Altisource, USA), Anita Raja (The University of North Carolina at Charlotte, USA), Victor Lesser (University of Massachusetts, Amherst, USA)
  4. Discrete Relative States to Learn and Recognize Goals-Based Behaviors of Groups, AAMAS 2013, Jérémy Patrix (University of Caen, France), Abdel-Illah Mouaddib (University of Caen, France), Simon Le Gloannec (CASSIDIAN, France), Dafni Stampouli (CASSIDIAN, France), Marc Contat (CASSIDIAN, France)
  5. Multiagent Reinforcement Learning in a Distributed Sensor Network with Indirect Feedback, AAMAS 2013, Mitchell Colby (Oregon State University, USA), Kagan Tumer (Oregon State University, USA)
Olivier Boissier, January 2014