Agents that reduce work and information overload
Communications of the ACM
Ant-like agents for load balancing in telecommunications networks
AGENTS '97 Proceedings of the first international conference on Autonomous agents
General principles of learning-based multi-agent systems
Proceedings of the third annual conference on Autonomous Agents
Coordinating mobile robot group behavior using a model of interaction dynamics
Proceedings of the third annual conference on Autonomous Agents
Embedding the Internet: introduction
Communications of the ACM
Stigmergy, self-organization, and sorting in collective robotics
Artificial Life
An Behavior-based Robotics
RoboCup: A Challenge Problem for AI and Robotics
RoboCup-97: Robot Soccer World Cup I
Getting from here to there: interactive planning and agent execution for optimizing travel
Eighteenth national conference on Artificial intelligence
Coalition Formation for Large-Scale Electronic Markets
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
A resource-allocation mechanism for multiagent networks
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Analysis of Dynamic Task Allocation in Multi-Robot Systems
International Journal of Robotics Research
The effects of viscosity in choice and refusal IPD environments
Artificial Intelligence Review
MemoPA: Intelligent Personal Assistant Agents with a Case Memory Mechanism
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Mesoscopic modeling of emergent behavior – a self-organizing deliberative minority game
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
Giving Personal Assistant Agents a Case-Based Memory
International Journal of Cognitive Informatics and Natural Intelligence
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We describe a general mechanism for adaptation in multi-agent systems in which agents modify their behavior based on their memory of past events. These behavior changes can be elicited by environmental dynamics or arise as response to the actions of other agents. The agents use memory to estimate the global state of the system from individual observations and adjust their actions accordingly. We also present a mathematical model of the dynamics of collective behavior in such systems and apply it to study adaptive coalition formation in electronic marketplaces. In adaptive coalition formation, the agents are more likely to join smaller coalitions than larger ones while there are many small coalitions. The rationale behind this is that smaller coalitions are necessary to nucleate larger ones. The agents remember the sizes of coalition they encountered and use them to estimate the mean coalition size. They decide whether to join a new coalition based on how close its size is to the mean coalition size. We show that the adaptive system displays most of the features of the non-adaptive one, but results in better long term system performance.