Premium
Open Parallel Cooperative and Competitive Decision Processes: A Potential Provenance for Quantum Probability Decision Models
Author(s) -
Fuss Ian G.,
Navarro Daniel J.
Publication year - 2013
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/tops.12045
Subject(s) - computer science , quantum , decision theory , interpretation (philosophy) , quantum probability , theoretical computer science , artificial intelligence , mathematics , quantum process , quantum dynamics , physics , quantum mechanics , statistics , programming language
In recent years quantum probability models have been used to explain many aspects of human decision making, and as such quantum models have been considered a viable alternative to Bayesian models based on classical probability. One criticism that is often leveled at both kinds of models is that they lack a clear interpretation in terms of psychological mechanisms. In this paper we discuss the mechanistic underpinnings of a quantum walk model of human decision making and response time. The quantum walk model is compared to standard sequential sampling models, and the architectural assumptions of both are considered. In particular, we show that the quantum model has a natural interpretation in terms of a cognitive architecture that is both massively parallel and involves both co‐operative (excitatory) and competitive (inhibitory) interactions between units. Additionally, we introduce a family of models that includes aspects of the classical and quantum walk models.