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dc.contributor.authorBrotsky, Daniel
dc.date.accessioned2008-04-22T12:15:30Z
dc.date.available2008-04-22T12:15:30Z
dc.date.issued1984-12
dc.identifier.urihttp://hdl.handle.net/1721.1/41217
dc.descriptionThis paper was prepared as the author's area examination.en
dc.description.abstractI review three systems which do simulation in different domains. I observe the following commonality in the representations underlying the simulations: • The representations used for individuals tend to be domain-dependent. These representations are highly structured, concentrating in one place all the information concerning any particular individual. I call these representations intensional because two such representations are considered equal if their forms are identical. • With important exceptions, the representations used for classes of individuals tend to be domain-independent. These representations are unstructured sets of predications involving the characteristics of class members. I call these representations extensional because two such representations are considered equal if the classes they specify are identical. I draw out various ramifications of this dichotomy, and speculate as to its cause. In conclusion, I suggest research into the process of debugging extensional class representations and the development of intensional ones.en
dc.description.sponsorshipMIT Artificial Intelligence Laboratoryen
dc.language.isoen_USen
dc.publisherMIT Artificial Intelligence Laboratoryen
dc.relation.ispartofseriesMIT Artificial Intelligence Laboratory Working Papers, WP-263en
dc.titleThe Role of Intensional and Extensional Representations in Simulationen
dc.typeWorking Paperen


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