Probabilistic Formulation of the Take The Best Heuristic

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

Abstrakti

The framework of cognitively bounded rationality treats problem solving as fundamentally rational, but emphasises that it is constrained by cognitive architecture and the task environment. This paper investigates a simple decision making heuristic, Take The Best (TTB), within that framework. We formulate TTB as a likelihood-based probabilistic model, where the decision strategy arises by probabilistic inference based on the training data and the model constraints. The strengths of the probabilistic formulation, in addition to providing a bounded rational account of the learning of the heuristic, include natural extensibility with additional cognitively plausible constraints and prior information, and the possibility to embed the heuristic as a subpart of a larger probabilistic model. We extend the model to learn cue discrimination thresholds for continuous-valued cues and experiment with using the model to account for biased preference feedback from a boundedly rational agent in a simulated interactive machine learning task.
AlkuperäiskieliEnglanti
OtsikkoCogSci 2018 Proceedings
KustantajaCOGNITIVE SCIENCE SOCIETY
Sivut2214-2219
ISBN (elektroninen)978-0-9911967-8-4
TilaJulkaistu - 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaAnnual Meeting of the Cognitive Science Society - Madison, Yhdysvallat
Kesto: 25 heinäkuuta 201828 heinäkuuta 2018
Konferenssinumero: 40

Conference

ConferenceAnnual Meeting of the Cognitive Science Society
LyhennettäCogSci
MaaYhdysvallat
KaupunkiMadison
Ajanjakso25/07/201828/07/2018

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