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ICTAI
2005
IEEE
15 years 10 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
ECAI
2008
Springer
15 years 6 months ago
Online Rule Learning via Weighted Model Counting
Online multiplicative weight-update learning algorithms, such as Winnow, have proven to behave remarkably for learning simple disjunctions with few relevant attributes. The aim of ...
Frédéric Koriche
ATAL
2005
Springer
15 years 10 months ago
A secure architectural description language for agent systems
Multi-agent systems are now being considered a promising architectural approach for building Internet-based applications. One of the most critical and important aspects of softwar...
Haralambos Mouratidis, Manuel Kolp, Stéphan...
AAAI
1996
15 years 6 months ago
Navigation for Everyday Life
Past work in navigation has worked toward the goal of producing an accurate map of the environment. While no one can deny the usefulness of such a map, the ideal of producing a co...
Daniel D. Fu, Kristian J. Hammond, Michael J. Swai...
AAMAS
2007
Springer
15 years 4 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