SOAR: an architecture for general intelligence
Artificial Intelligence
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Tense trees as the "fine structure" of discourse
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Preface for Special Section on Integrated Cognitive Architectures
ACM SIGART Bulletin
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The work reported in this article presents a computational model of interpretation. The model proposes a cognitive architecture for intelligent agents to reason about competing analyses during interpretation and leverages the positive reinforcement principle.