143 | -- | 0 | Larry Bull, Pier Luca Lanzi, Wolfgang Stolzmann. Learning Classifier Systems |
144 | -- | 153 | Martin Butz, Stewart W. Wilson. An algorithmic description of XCS |
154 | -- | 161 | Larry Bull. On accuracy-based fitness |
162 | -- | 170 | Pier Luca Lanzi. Learning classifier systems from a reinforcement learning perspective |
171 | -- | 182 | Tim Kovacs. What should a classifier system learn and how should we measure it? |
183 | -- | 199 | Alwyn Barry. The stability of long action chains in XCS |
200 | -- | 215 | Andy Tomlinson, Larry Bull. An accuracy based corporate classifier system |
216 | -- | 228 | Pierre Gérard, Wolfgang Stolzmann, Olivier Sigaud. YACS: a new learning classifier system using anticipation |
229 | -- | 239 | Keiki Takadama, Shinichi Nakasuka, Katsunori Shimohara. Robustness in organizational-learning oriented classifier system |
240 | -- | 243 | Tim Kovacs. Learning classifier systems resources |
244 | -- | 253 | Yakov Frayman, Lipo Wang. A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlinear processes |
254 | -- | 257 | Christopher Roesmer. Some convergence results in Dempster-Shafer theory |
258 | -- | 270 | Sándor Jenei, Erich-Peter Klement, Richard Konzel. Interpolation and extrapolation of fuzzy quantities-the multiple-dimensional case |
271 | -- | 276 | Witold Pedrycz, George Vukovich. An fMUX architecture: data modularization and mixed-mode system modeling |
277 | -- | 283 | Tzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin. Applying genetic algorithms to game search trees |