A robot’s sense-making of fallacies and rhetorical tropes. Creating ontologies of what humans try to say

Hoorn, Johan F.; Tuinhof, Denice J.

doi:10.1016/j.cogsys.2021.10.003

Cited by 2 publications

(2 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1 ). The theory that the module relies on is Epistemics of the Virtual 52 , 53 , and the related code is called EpiVir. In the Coppélia system, the machine-learning process is embedded in an encoding process that assesses features in terms of, for instance, ethical qualities as well as epistemics (or “measure of realism”) (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Sensory inputs go through the ontological classification process composed of a series of logics for determining the ontology, with reference to the belief system. If unexpected or uncertain inputs seem “unrealistic,” a precise and detailed epistemic appraisal is executed, and results are checked for acceptability at various levels of tolerance, allowing for a “learning process” to accept new or modify existing concepts 53 . A learning process like this should be dealing with ambiguity, vagueness, and uncertainty, and quantum logic may be a promising candidate to do so.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Quantum affective processes for multidimensional decision-making

Ho¹,

Hoorn

2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

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 wanted and so we attempt a quantum-computational construction of robot affect, which theoretically should be able to account for indefinite and ambiguous states as well as parallelism. Our Quantum Coppélia (Q-Coppélia) is a translation into quantum logics of the fuzzy-based Silicon Coppélia system, which simulates the progression of a robot’s attitude towards its user. We show the entire circuitry of the Q-Coppélia framework, aiming at contemporary descriptions of (neuro)psychological processes. Arguably, our work provides a system for simulating and handling affective interactions among various agencies from an understanding of the relations between quantum algorithms and the fundamental nature of psychology.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%