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» Learning and Classification of Complex Dynamics
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GECCO
2009
Springer
14 years 20 days ago
NEAT in increasingly non-linear control situations
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
Matthias J. Linhardt, Martin V. Butz
ACMSE
2007
ACM
14 years 2 days ago
BehaviorSim: towards an educational tool for behavior-based agent
A major paradigm of modeling the decision making of autonomous agents is through behavior-based network models. The network consists of distributed behaviors that compete (or coop...
Pavel Lakhtanau, Xiaolin Hu, Fasheng Qiu
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
AAMAS
2007
Springer
13 years 8 months ago
A framework for meta-level control in multi-agent systems
Sophisticated agents operating in open environments must make decisions that efficiently trade off the use of their limited resources between dynamic deliberative actions and dom...
Anita Raja, Victor R. Lesser
CII
2006
95views more  CII 2006»
13 years 8 months ago
A neuro-fuzzy monitoring system: Application to flexible production systems
The multiple reconfiguration and the complexity of the modern production system lead to design intelligent monitoring aid systems. Accordingly, the use of neurofuzzy technics seem...
N. Palluat, Daniel I. Racoceanu, Noureddine Zerhou...