COG250Y1 Lecture Notes - Lecture 1: Principle Of Compositionality, Linear Separability, Representativeness Heuristic
21 Oct 2015
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Definition: coding of experiences as basis of cognition; taking unrelated events, objects, and situations and grouping them together with a sense that they belong together. We use inductive inferences to gather, represent, transform, store, and apply data. Problem: partial identity: indefinite amount of similarities and dissimilarities. Solution: applying relevant subset. notion of categorization = notion of context/goal. Smith weakens his theory by adding inductive generalizations: conclusion: Theory is implausible because it cannot be formulated and relies on predisposed common sense. Needs to be based on concepts represented by us. A mental definition that consists of necessary and jointly sufficient list of features, an essence, and an indefinite amount of concept compositionality in a taxonomic hierarchy. Each member is equally important/representative and share the same essence: 6. organized in a taxonomic hierarchy; subordinate includes super-ordinate, counter claim, all features are not equal representatives and don"t share an essence.
