Chapter 7: Semantic Memory & General Knowledge Representation

Semantic Memory & General Knowledge Representation educational overview explores how human beings organize and retrieve general knowledge, focusing on the sophisticated architecture of long-term memory. It begins by distinguishing between episodic memory, which involves personal experiences tied to specific times, and semantic memory, which constitutes our general knowledge base of facts and concepts. Various cognitive models attempt to explain how this semantic data is structured, starting with hierarchical networks that emphasize cognitive economy and spreading activation. Limitations of these hierarchies, such as the typicality effect, led to the development of the feature comparison model, which suggests we evaluate meanings based on defining and characteristic traits. More modern approaches like the Adaptive Control of Thought (ACT) framework differentiate between declarative information (facts) and procedural knowledge (skills), using production rules to simulate human problem-solving. Meanwhile, connectionist models shift away from discrete nodes, proposing that knowledge exists as patterns of neural-like activation across vast networks rather than individual stored items. Beyond individual concepts, the text examines schemata and scripts, which are organized frameworks that help us navigate routine events and make logical inferences through default assumptions. The discussion concludes by contrasting explicit, conscious recollection with implicit memory—where past experiences influence behavior without our awareness—and explores how automatic processes can lead to source-monitoring errors or false familiarity in social judgments.