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The International Conference on Autonomous Agents and Multiagent Systems or AAMAS is the leading scientific conference for research in the areas of artificial intelligence, autonomous agents, and multiagent systems. It is annually organized by a non-profit organization called the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
The AAMAS conference is a merger of three major international conferences/workshops, namely International Conference on Autonomous Agents (AGENTS), International Conference on Multi-Agent Systems (ICMAS), and International Workshop on Agent Theories, Architectures, and Languages (ATAL). [1] As such, this highly respected joint conference provides a quality forum for discussing research in this area.
Besides the main program that consists of a main track, an industry and applications track, and a couple of special area tracks, AAMAS also hosts over 20 workshops (e.g., AOSE, COIN, DALT, ProMAS, to mention a few) and many tutorials. There is also a demonstration session and a doctoral symposium. Finally, each year AAMAS features a bunch of awards, most notably the IFAAMAS Influential Paper Award. It publishes proceedings which are available online. [15]
A multi-agent system is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning.
The belief–desire–intention software model (BDI) is a software model developed for programming intelligent agents. Superficially characterized by the implementation of an agent's beliefs, desires and intentions, it actually uses these concepts to solve a particular problem in agent programming. In essence, it provides a mechanism for separating the activity of selecting a plan from the execution of currently active plans. Consequently, BDI agents are able to balance the time spent on deliberating about plans and executing those plans. A third activity, creating the plans in the first place (planning), is not within the scope of the model, and is left to the system designer and programmer.
Distributed constraint optimization is the distributed analogue to constraint optimization. A DCOP is a problem in which a group of agents must distributedly choose values for a set of variables such that the cost of a set of constraints over the variables is minimized.
Ekaterini Panagiotou Sycara is a Greek computer scientist. She is an Edward Fredkin Research Professor of Robotics in the Robotics Institute, School of Computer Science at Carnegie Mellon University internationally known for her research in artificial intelligence, particularly in the fields of negotiation, autonomous agents and multi-agent systems. She directs the Advanced Agent-Robotics Technology Lab at Robotics Institute, Carnegie Mellon University. She also serves as academic advisor for PhD students at both Robotics Institute and Tepper School of Business.
CALO was an artificial intelligence project that attempted to integrate numerous AI technologies into a cognitive assistant. CALO is an acronym for "Cognitive Assistant that Learns and Organizes". The name was inspired by the Latin word "Calo" which means "soldier's servant". The project started in May 2003 and ran for five years, ending in 2008.
Whitestein Technologies AG, abbreviated to Whitestein, is a Swiss information technology company headquartered in Steinhausen, Switzerland. The company produces licensed software products and associated services for financial services, logistics, telecommunications, and public sector organizations.
Munindar P. Singh is a SAS institute distinguished professor and a full professor in the Department of Computer Science at North Carolina State University. Singh is an IEEE Fellow, a AAAI Fellow, a AAAS Fellow, an ACM Fellow, a Member of Academia Europaea, and a ACM SIGAI Autonomous Agents Research Award recipient.
Nicholas Robert Jennings is a British computer scientist who was appointed Vice-Chancellor and President of Loughborough University in 2021. He was previously the Vice-Provost for Research and Enterprise at Imperial College London, the UK's first Regius Professor of Computer Science, and the inaugural Chief Scientific Adviser to the UK Government on National Security. His research covers the areas of AI, autonomous systems, agent-based computing and cybersecurity.
Peter Stone is an American computer scientist who holds the Truchard Foundation Chair of Computer Science at The University of Texas at Austin. He is also Chief Scientist of Sony AI, an Alfred P. Sloan Research Fellow, Guggenheim Fellow, AAAI Fellow, IEEE Fellow, AAAS Fellow, ACM Fellow, and Fulbright Scholar.
Sequential proportional approval voting (SPAV) or reweighted approval voting (RAV) is an electoral system that extends the concept of approval voting to a multiple winner election. It is a simplified version of proportional approval voting. It is a special case of Thiele's voting rules, proposed by Danish statistician Thorvald N. Thiele in the early 1900s. It was used in Sweden from 1909-1921, when it was replaced by a cruder "party-list" style system as it was easier to calculate, and is still used for some local elections.
Agent mining is an interdisciplinary area that synergizes multiagent systems with data mining and machine learning.
Behavior authoring is a technique that is widely used in crowd simulations and in simulations and computer games that involve multiple autonomous or non-player characters (NPCs). There has been growing academic and industry interest in the behavioral animation of autonomous actors in virtual worlds. However, it remains a considerable challenge to author complicated interactions between multiple actors in a way that balances automation and control flexibility.
Franco Zambonelli is a full professor in Computer Science at the University of Modena and Reggio Emilia, Italy, since 2010.
Victor R. Lesser is Distinguished Professor Emeritus in the School of Computer Science at the University of Massachusetts at Amherst and the Director of Multi-Agent Systems Laboratory. He is widely considered as the founding father of multi-agent systems. He received the IJCAI Award for Research Excellence in 2009.
Christian Guttmann is an entrepreneur, business executive and scientist in Artificial Intelligence, Machine Learning and Data Science. He has three citizenships. He is currently the vice president in Engineering and Artificial Intelligence at Pegasystems, and leads the AI research and development including the development of Large Language Models and Generative AI. He is an adjunct associate professor at the University of New South Wales, Australia and Adjunct researcher at the Karolinska Institute, Sweden. Guttmann has edited and authored 7 books, over 50 publications and 4 patents in the field of Artificial Intelligence. He is a keynote speaker at international events, including the International Council for Information Technology (ICA) in Government Administration and CeBIT and is cited by MIT Sloan Management review and Bloomberg.
Toru Ishida is a Japanese computer scientist specializing in multi-agent systems. He has been working on action research projects including Digital City Kyoto, Intercultural Collaboration Experiments, and the Language Grid. He is a professor emeritus of Kyoto University, and currently a visiting professor of Hong Kong Baptist University.
Truthful resource allocation is the problem of allocating resources among agents with different valuations over the resources, such that agents are incentivized to reveal their true valuations over the resources.
A multi-attribute auction is a type of auction in which the bids have multiple parts. Multi-attribute auctions allow agents to sell and purchase goods and services, taking into account more attributes than just price.
Drones, also known as Unmanned Aerial Systems/Vehicles (UAS/UAV), or Remotely Piloted Aircraft, are used in wildfire surveillance and suppression. They help in the detection, containment, and extinguishing of fires. They are also used for locating a hot spot, firebreak breaches, and then to deliver water to the affected site. In terms of maneuverability, these are superior to a helicopter or other forms of manned aircraft. They help firefighters determine where a fire will spread through tracking and mapping fire patterns. These empower scientists and incident personnel to make informed decisions. These devices can fly when and where manned aircraft are unable to fly. They are associated with low cost and are flexible devices that offer a high spatiotemporal resolution.
Takayuki Ito is a Japanese computer scientist who specialized in the fields of artificial intelligence and multi-agent systems. He worked as assistant professor in the computer science department of Japan Advanced Institute of Science and Technology from 2001 until 2003, served as associate professor in the computer science department of Nagoya Institute of Technology (2006–2014), worked as full professor in the computer science department of Nagoya Institute of Technology (2014–2020). He also served as chair of the department (2016–2018)and also director the NITech Artificial Intelligence Research Center at Nagoya Institute of Technology.
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