Title
The human conceptual system
Abstract
The human conceptual system contains knowledge about the world thatsupports categorical inference, conceptual combination, and basiccognitive tasks (e.g., perception, memory, language, thought).Standard views of semantic memory typically portray the conceptualsystem as modular, amodal, static, abstractive, and taxonomic.Recent connectionist accounts are dynamic and contextual but oftenremain modular, amodal, and taxonomic (although not necessarilyso). An alternative view is presented, along with supportingempirical evidence. On this view, the conceptual system sharesrepresentational mechanisms with sensory-motor systems, therebymaking it non-modular and modal. Within this framework, simulatorsrepresent a category dynamically by constructing diversesimulations of category instances across occasions (i.e., staticconcepts do not represent categories). To represent a category on agiven occasion, a simulator reenacts a small subset of modalinformation for the category. In addition, these simulationsinclude knowledge about settings, actions, and mental perspectives,thereby contextualizing the category's representations. Finally,systems of categories are organized to support situated action. Adhoc categories arise at the interface between action sequences andthe world, with taxonomic categories being subsidiary to thisinterface. Behavioral and neural evidence is presented to supportthis view of the conceptual system.
Year
DOI
Venue
2001
10.1145/505168.505186
FOIS
Keywords
Field
DocType
sensory-motor system,taxonomic category,alternative view,category dynamically,adhoc category,category instance,conceptual combination,conceptual system,human conceptual system,conceptual system sharesrepresentational mechanism,semantic memory,motor system,software specification,formal methods,diagrammatic reasoning
Diagrammatic reasoning,Cognitive science,Computer science,Knowledge management,Conceptual system,Natural language processing,Artificial intelligence,Cognition,Connectionism,Semantic memory,Knowledge representation and reasoning,Inference,Conceptual combination
Conference
ISBN
Citations 
PageRank 
1-58113-377-4
1
0.39
References 
Authors
0
1
Name
Order
Citations
PageRank
Lawrence W. Barsalou111733.83