Synopsis and Review: Algebraic Quantum Theory of Consciousness by Elio Conte

Conte, Elio; Norman, Rich

doi:10.24297/jap.v16i1.8110

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2020

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“…sensing capabilities [1]. The reason behind this choice is the great descriptive potential which a quantum formalism inherently provides [8,9,10,11,12]. Indeed, following Caves et al [13], quantum probability theory can be understood within the Bayesian approach, with probabilities quantifying the degree of belief about a certain state.…”

Section: Modelmentioning

confidence: 99%

Multi-sensory Integration in a Quantum-Like Robot Perception Model

Lanza,

Solinas,

Mastrogiovanni

2020

Preprint

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Formalisms inspired by Quantum theory have been used in Cognitive Science for decades. Indeed, Quantum-Like (QL) approaches provide descriptive features that are inherently suitable for perception, cognition, and decision processing. A preliminary study on the feasibility of a QL robot perception model has been carried out for a robot with limited sensing capabilities [1]. In this paper, we generalize such a model for multi-sensory inputs, creating a multidimensional world representation directly based on sensor readings. Given a 3-dimensional case study, we highlight how this model provides a compact and elegant representation, embodying features that are extremely useful for modeling uncertainty and decision. Moreover, the model enables to naturally define query operators to inspect any world state, which answers quantifies the robot's degree of belief on that state.

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