The Interaction of Inferences, Affects, and Intentions, in a Model of Paranoia
Abstract
The analysis of natural language input into its underlying semantic content is but one of the tasks necessary for a system (human or non-human) to use natural language. Responding to natural language input requires performing a number of tasks: (1) deriving facts about the input and the situation in which it was spoken; (2) attending to the system's needs, desires, and interests; (3) choosing intentions to fulfill these interests; (4) deriving and executing actions from these intentions. The authors describe a series of processes in a model of paranois which performs these tasks. The authors also describe the modifications made by the paranoid processes to the normal processes. A computer program has been constructed to test this theory.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1974
- Accession Number
- ADA003487
Entities
People
- Bill Faught
- Kenneth M. Colby
- Roger C. Parkison
Organizations
- Stanford University