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Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perfor…
Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perfor…
The authors argue than human cognition has a goal: we pay attention only to information which seems to us relevant. To communicate is to claim someone's attention, and hence to imply that the information communicated is relevant. Thus, a single property - relevance is seen as th…
Relevance: communication and cognition
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Type: Book
Relevance, first published in 1986, was named as one of the most important and influential books of the decade in the Times Higher Educational Supplement. This revised edition includes a new preface outlining developments in Relevance Theory since 1986, discussing the more serio…