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» Learning the required number of agents for complex tasks
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ATAL
2010
Springer
13 years 9 months ago
Using graph analysis to study networks of adaptive agent
Experimental analysis of networks of cooperative learning agents (to verify certain properties such as the system's stability) has been commonly used due to the complexity of...
Sherief Abdallah
AAAI
2011
12 years 7 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
ATAL
2007
Springer
13 years 11 months ago
A swarm based approximated algorithm to the extended generalized assignment problem (E-GAP)
This paper addresses distributed task allocation in complex scenarios modeled using the distributed constraint optimization problem (DCOP) formalism. We propose and evaluate a nov...
Paulo Roberto Ferreira Jr., Felipe S. Boffo, Ana L...
ESAW
2004
Springer
14 years 1 months ago
Deployment of Distributed Multi-agent Systems
The agent metaphor has shown its usefulness for modelling as well as implementing complex and dynamic applications. Although a number of agent applications has been successfully re...
Lars Braubach, Alexander Pokahr, Dirk Bade, Karl-H...
AAAI
2000
13 years 9 months ago
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
Tim Oates, Matthew D. Schmill, Paul R. Cohen