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» Planning, Learning, and Executing in Autonomous Systems
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AAAI
2004
13 years 9 months ago
Making Better Recommendations with Online Profiling Agents
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
Danny Oh, Chew Lim Tan
AGENTS
2000
Springer
14 years 7 days ago
Unsupervised clustering of robot activities: a Bayesian approach
Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
FCS
2007
13 years 9 months ago
Coordinating Planning Agents for Moderately and Tightly-Coupled Tasks
In many task-planning domains, dynamic assemblies of autonomous agents are replacing hierarchical organisations because they promise more agility. In such assemblies, interdepende...
J. Renze Steenhuisen, Cees Witteveen
AAAI
2012
11 years 10 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala
CCGRID
2008
IEEE
13 years 10 months ago
Performance Optimization for Multi-agent Based Simulation in Grid Environments
Multi-agent based simulation (MABS) is a discrete event simulation technique used to study complex systems with entities having social and autonomous behavior. MABS applications a...
Dawit Mengistu, Peter Tröger