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A Unifying Computational Model of Decision Making
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- Decision making has long been of interest as a descriptive phenomenon in psychology and as a generative one in artificial intelligence. Research ranges from general, descriptive models of heuristic decision making to detailed studies of decision parameters. This paper introduces a model that formalizes and integrates several descriptive models so that it can serve both as a framework for psychological models and as an algorithm for computational decision making. We set special focus on the instantiation of this model with respect to aggregating cue values by reviewing some methods from the field of computational social choice. To show its applicability in the context of artificial intelligence we present a case study of computational problem solving.
- Subjects :
- Computer science
Cognitive Neuroscience
Decision Making
Behavioural sciences
Experimental and Cognitive Psychology
Context (language use)
Models, Psychological
050105 experimental psychology
Field (computer science)
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
03 medical and health sciences
[SCCO]Cognitive science
0302 clinical medicine
Artificial Intelligence
Humans
0501 psychology and cognitive sciences
Computer Simulation
Set (psychology)
Problem Solving
Heuristic
business.industry
05 social sciences
General Medicine
Artificial intelligence
Computational problem
Heuristics
business
030217 neurology & neurosurgery
Generative grammar
Algorithms
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....1244a601ef4a5b7c0161e2cc84242c2f