论文列表及评分结果
Fuzzy neural network with fuzzy signals and weights.
电商所评分：5
A review of evolutionary artificial neural networks.
电商所评分：9
Neural networks and adaptive expert systems in the CSA approach.
电商所评分：3
Solving tangram puzzles: A connectionist approach.
电商所评分：4
A tutorial on LISP object-oriented programming for blackboard computation (solving the radar tracking problem).
电商所评分：3
Communicating with operating systems in natural language.
电商所评分：3
Programming robots by example.
电商所评分：3
On nonspecific evidence.
电商所评分：5
Control of dynamic systems using fuzzy logic and neural networks.
电商所评分：7
Fuzzy reasoning approach to similarity evaluation in image analysis.
电商所评分：9
On a class of operators for expert systems.
电商所评分：3
Knowledge acquisition of conjunctive rules using multilayered neural networks.
电商所评分：9
On the extension of the compositional rule of inference.
电商所评分：5
A similarity measure for conceptual graphs.
电商所评分：9
A fuzzy approach to some classification problems.
电商所评分：10
Parallel search using transformation-ordering Lterative-Deepening-A.
电商所评分：1
Reinforcement learning: Architectures and algorithms.
电商所评分：7
Implication operators versus regression analysis: Application to time series data.
电商所评分：9
Automatically building a knowledge base through natural language text analysis.
电商所评分：4
Evidential support logic, FRIL and case based reasoning.
电商所评分：1
Reasoning agents in a dynamic world: The frame problem, edited by Kenneth M. Ford and Patrick J. Hayes. JAI Press, Greenwich, Connecticut 1991.
电商所评分：3
Foreword.
电商所评分：1
A glance at revision and updating in knowledge bases.
电商所评分：8
A survey of belief revision and updating in classical logic.
电商所评分：6
A survey of belief revision and updating rules in various uncertainty models.
电商所评分：5
Notes on change and nonmonotony.
电商所评分：8
Interference logic = conditional logic + frame axiom.
电商所评分：3
A temporal revision model for reasoning about world change.
电商所评分：10
Revision and action.
电商所评分：1
A knowledge representation perspective: Logics for paraconsistent reasoning.
电商所评分：4