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» Autonomous Agents that Learn to Better Coordinate
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GECCO
2005
Springer
161views Optimization» more  GECCO 2005»
15 years 5 months ago
Autonomous navigation system applied to collective robotics with ant-inspired communication
Research in collective robotics is motivated mainly by the possibility of achieving an efficient solution to multi-objective navigation tasks when multiple robots are employed, in...
Renato Reder Cazangi, Fernando J. Von Zuben, Maur&...
102
Voted
COMPSAC
2006
IEEE
15 years 5 months ago
Automated Agent Synthesis for Situation Awareness in Service-Based Systems
Service-based systems have many applications, such as collaborative research and development, e-business, health care, military applications, and homeland security. In dynamic ser...
Stephen S. Yau, Haishan Gong, Dazhi Huang, Wei Gao...
AAAI
2010
15 years 1 months ago
An Integrated Systems Approach to Explanation-Based Conceptual Change
Understanding conceptual change is an important problem in modeling human cognition and in making integrated AI systems that can learn autonomously. This paper describes a model o...
Scott Friedman, Kenneth D. Forbus
WWW
2003
ACM
16 years 10 days ago
A Context-Based Information Agent for Supporting Intelligent Distance Learning Environments
The large amount of information now available on the Web can play a prominent role in building a cooperative intelligent distance learning environment. We propose a system to prov...
Mohammed Abdel Razek, Claude Frasson, Marc Kaltenb...
ATAL
2007
Springer
15 years 5 months ago
Advice taking in multiagent reinforcement learning
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
Michael Rovatsos, Alexandros Belesiotis