Introduction to Bayesian Networks
Introduction to Bayesian Networks
Karma: knowledge-based active representations for metaphor and aspect
Karma: knowledge-based active representations for metaphor and aspect
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Moving right along: a computational model of metaphoric reasoning about events
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
OCCAM: ontology-based computational contextual analysis and modeling
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Semantic analysis in cognitive UBIAS & E-UBIAS systems
Computers & Mathematics with Applications
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Reasoning about actions has been a focus of interest in AI from the beginning and continues to receive attention. Rut the range of situations considered has been rather narrow and falls well short of what is needed for understanding natural language. Language understanding requires sophisticated reasoning about actions and events and the world's languages employ a variety of grammatical and lexical devices to construe, direct attention and focus on, and control inferences about actions and events. We implemented a neurally inspired computational model that is able to reason about, linguistic action and event descriptions, such as those found in news stories. The system uses an active. event representation that also seems to provide natural and cognitiveIy motivated solutions to classical problems in logical theories of reasoning about actions. For logical approaches to reasoning about actions, we suggest, that looking at story understanding sets up fairly strong desiderata both in terms of the fine-grained event and action distinctions and the kinds of real-time inferences required.