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Home: Artificial Intelligence: Agents: Research
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- AAMAS/AOC Research group at HKBU
home page of the autonomous agent and multi-agent systems / autonomy oriented computation (AAMAS/AOC) research group at Hong Kong Baptist University (HKBU)
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- Annual symposium on Adaptive Agents and Multi-Agent Systems
The goal of this annual symposium is to increase awareness and interest in adaptive agent research, encourage collaboration between ML experts and agent system experts, and give a representative overview of current research in the area of adaptive agents.
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- BT Intelligent Agent Research
The ISR Agent Research is concerned with the development and analysis of sophisticated AI problem-solving and control architectures for both single-agent and multiple-agent systems.
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- DAMAS Lab: Dialogues, Agents, Multi-Agents
DAMAS Research Laboratory at University Laval in Quebec city. Projects cover Intteligent Dialogues, Supply Chain, Cognitive Maps, e-commerce, frigates defense and vehicle control using multi-agents systems.
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- Distributed Knowledge Networks
Multi-agent systems for information retrieval, extraction, fusion, and data-driven knowledge acquisition and decision support using heterogeneous, distributed, autonomous data and knowledge sources.
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- IMPACT: Interactive Maryland Platform
A Multi-agent platform developed at University of Maryland. Each agent has several declaratively specified components such as a decision Component, a security Component , and a metaknowledge component.
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- Intelligent Agentlab
The Intelligent Agent Laboratory is in the Department of Computer Science and Software Engineering, The University of Melbourne. Current major research activities are in the areas of multi-agent systems, agent frameworks, and information agents.
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- Intelligent Agents
Intelligent agents research, publications, and agent building toolkit from British Telecom labs.
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- MIT Media Lab: Software Agents
Software agents research group at MIT. Projects cover many issues concerning software agents, including collaborative filtering, user modeling, learning, multi-agent systems, privacy and security. The group is led by Prof. Pattie Maes.
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- SMAC team (Cooperative Multi-Agent Systems)
We study multi-agent systems to design open and complex applications for which there is no algorithmic solution known. The main topics covered are self-organization, emergence, simulation, collective robotics, agent-oriented methodology.
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