Advanced perceptual systems are faced with the problem of securing a principled (ideally, veridical) relationship between the world and its internal representation. I propose a unified approach to visual representation, addressing the need for superordinate and basic-level categorization and for the identification of specific instances of familiar categories. According to the proposed theory, a...

Representation of knowledge is used to store and retrieve informational data in a machine. Since meaning cannot be directly stored in the computer; this work proposes a series of levels of representation. The meaning of the data is transformed to a format that the machine can use to store and retrieve knowledge. These levels are designed to transform the knowledge from an abstract definition to...

decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. the resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility. the most comprehensible decision trees have been designed for perfect symbolic data. classical crisp decision trees (dt) are widely applied to classification t...

harmony and disharmony are generally considered in isolation in the phonological literature. this has led to a striking asymmetry in their analyses. in this article, it is argued that both phenomena call for a parallel treatment and that this can be accomplished within correspondence theory.correspondence theory provides a general framework for defining faithfulness constraints. what happens in...