2022
DOI: 10.1038/s41598-022-22855-0
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Quantum affective processes for multidimensional decision-making

Abstract: In modeling the human affective system and applying lessons learned to human–robot interaction, the challenge is to handle ambiguous emotional states of an agency (whether human or artificial), probabilistic decisions, and freedom of choice in affective and behavioral patterns. Moreover, many cognitive processes seem to run in parallel whereas seriality is the standard in conventional computation. Representation of contextual aspects of behavior and processes and of self-directed neuroplasticity are still want… Show more

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Cited by 3 publications
(3 citation statements)
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“…It is beginning to be applied to solve real-world problems (Arguëlles, 2018;Q. Song et al, 2022;Wojciechowski et al, 2022) and it has been influencing the design of artificial intelligence and robots that aim to interact with the world (Ho & Hoorn, 2022).…”
Section: Noncommutativity Complementarity Uncertainty Relations In Qu...mentioning
confidence: 99%
“…It is beginning to be applied to solve real-world problems (Arguëlles, 2018;Q. Song et al, 2022;Wojciechowski et al, 2022) and it has been influencing the design of artificial intelligence and robots that aim to interact with the world (Ho & Hoorn, 2022).…”
Section: Noncommutativity Complementarity Uncertainty Relations In Qu...mentioning
confidence: 99%
“…This is achieved through a 'unipolar' scale going from 0 → 1 intelligent alongside a unipolar scale going from 0 → 1 silly. Such a combo we call 'bidimensional unipolar scales' but Quantum Coppélia also does something extra, as another dimension of ambiguity, naturally, as the quantum properties of mixed states (Ho & Hoorn, 2022). Let's say that in a portrait of Quasimodo or Cyrano de Bergerac, the man is so ugly that he becomes beautiful again.…”
Section: Vagueness and Ambiguitymentioning
confidence: 99%
“…Tere has been a number of work establishing fundamentals of quantum mechanics within the notion decision-making under uncertainties. For example, recently [5] applied the quantum computational model to represents modelling the human afective system and applying lessons learned to human-robot interaction, in handling ambiguous emotional states and probabilistic decisions using quantum logic on fuzzy-sets hardware. Reference [6] presents some results in exploring the notion of interference efect within the context of Bayesian network and fuzzy set theory.…”
Section: Introductionmentioning
confidence: 99%