Journal: Int. J. Approx. Reasoning

Volume 17, Issue 4

325 -- 326Francisco Herrera. Special issue on genetic fuzzy systems for control and robotics-- Preface
327 -- 349Luis Magdalena. Adapting the gain of an FLC with genetic algorithms
351 -- 368Henning Heider, Thorsten Drabe. A cascaded genetic algorithm for improving fuzzy-system design
369 -- 407Oscar Cordón, Francisco Herrera. A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples
409 -- 432Andrea Bonarini, Filippo Basso. Learning to compose fuzzy behaviors for autonomous agents
433 -- 446Pierre-Yves Glorennec. Coordination between autonomous robots
447 -- 469Frank Hoffmann, Gerd Pfister. Evolutionary design of a fuzzy knowledge base for a mobile robot

Volume 17, Issue 2-3

105 -- 106Piero P. Bonissone. Special issue on the 1996 uncertainty in AI (UAI 96) conference--preface
107 -- 162Thomas Richardson. A characterization of Markov equivalence for directed cyclic graphs
163 -- 189Enrique Castillo, Cristina Solares, Patricia Gómez. Estimating extreme probabilities using tail simulated data
191 -- 216Eugene Santos Jr., Solomon Eyal Shimony, Edward Michael Williams. Hybrid algorithms for approximate belief updating in Bayes nets
217 -- 237Mathias Bauer. Approximation algorithms and decision making in the Dempster-Shafer theory of evidence - An empirical study
239 -- 263Prakash P. Shenoy. Binary join trees for computing marginals in the Shenoy-Shafer architecture
265 -- 293Milan Studený. A recovery algorithm for chain graphs
295 -- 324Didier Dubois, Henri Prade. A synthetic view of belief revision with uncertain inputs in the framework of possibility theory

Volume 17, Issue 1

1 -- 36Didier Dubois, Henri Prade, Francesc Esteva, Pere Garcia, Lluis Godo. A logical approach to interpolation based on similarity relations
37 -- 76Helmut Thöne, Ulrich Güntzer, Werner Kießling. Increased robustness of Bayesian networks through probability intervals
77 -- 103Jeff B. Paris, Alena Vencovská. In defense of the maximum entropy inference process